#AI ethics specialist | Explore Tumblr Posts and Blogs

newkiqx · 2 months

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Nearly every single modern computer utilizes cobalt, a mineral whose supply chain is so heavily dominated by slave labor that it's practically impossible to ethically source. Ignoring AI, it is even ethical to do digital art at all? The production of a drawing tablet is not a victimless crime.

I feel you when you want to reduce this to something as simple as a comparison. But bear with me (or alternatively, I put a tl;dr/conclusion at the end).

Much of capitalism is unethical - yes. I agree with this point completely. It's impossible to completely avoid unethical consumption in the world we live in. But it's good to be thoughtful of it and I think businesses and governments responsible for bad practice should be held accountable. Sadly I can't change the world on my own in any meaningful way, but i'll do my part where I can & vote people into power that care about this too.

Taking your comparison for a second, I feel like the art project of that OP was asking a much more direct "I bought cobalt I didn't need and then turned into a children's toy, could this be art?". And my reply was basically yeah sure it could be art, but was it worth it? My point is that I'm not sure on that last part, and leaning towards a 'no'. They specifically sourced it unethically and made that the center piece, which is distinct from the utilitarian nature of consumer electronics we need to get through our lives. Unethical sourcing of art can be a goal or statement (like here cw dead pets) but will then of course still be a part of it. I don't think ethics were considered for the post we're discussing though and it instead only discussed the very unproductive 'is it art' discourse. This, of course, matters about as much as my "dick" being objectively "long" or not.

Maybe getting a little sidetracked, but I also want to mention that cobalt is an extremely useful metal, whereas AI.. well.. i've mentioned the very human cost of mturk and the wholesale theft of the entire internet. There's also:

the power required

the jobs in art it threatens and therefore the skilled labor we stand to lose if we're not careful

the inevitable price hike and betrayal of the public as soon as alternatives are out competed (this will happen)

the risks of biases (racism, ableism, sexism) in an opaque weighted system like AI & the fact we cannot deal with this except for slapping some extra prompts in front

AI poisoning our actual collective knowledge with untrue shit. Recent cases in point being the hilarious fake mouse dick science being published and the ai generated inaccurate servals on google, but there's a lot more going on

the risks of companies and people in power using AI to more efficiently screw everybody over and hide behind 'machine told me so' accountability loopholes

the risks of AI being used in all sorts of malinformed use cases

But what are the gains? What do we stand to win? Call me cynical, but we already had an infinite amount of pictures at our fingertips, as well as all the mediocre writing you could ever want (but actually much better because someone loved writing it). I feel like all these general AI's are good for is filling the pockets of some very rich robber barons and grifters, as well as diluting everything that's beautiful and true in the world.

Quick sidenote - Some specialist AI have genuinely already improved the world, like with medical screenings, but even then it's hard to really call it a win because reverse engineering the reasoning of an AI is so fucking hard. And again, they're a slippery slope with insurance companies wanting a piece of that pie badly, just so they can apply their 'justified' penalties to people not even sick yet.

tl/dr; So in conclusion, no, I don't think your comparison holds up. I agree that it sucks that so much of necessary consumption is unethical in ways we can't easily fix as consumers. But one thing bad does not equate other thing good. If anything, it should inspire you to do better where you can make a difference and hold the ones responsible for the exploitation in this world accountable.

Don't let it eat you up though. I'm not even saying you can't use it for inspiration ever. But any art based on these generated pictures cannot be divorced from the ugly side we'd rather not see: the underpaid army of technically not slaves and the wholesale theft of everything.

also sorry but i couldn't not include this (source: matt bors)

#long post #txt #ask #fuck ai art #ai #ethics #negativity

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cyberpunkonline · 7 months

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Cyberpunk Careers Unraveled: Charting Your Path in the Neon Realm

Listen up, neon nightwalkers! The future isn't just digital rain and holographic adverts. It's a chaotic blend of byte and blade. If you think mastering the digital dance is enough, you're in for a shock. Here's a deep dive into the iconic roles of the cyber realm, and—plot twist—how they're not as fictional as they seem.

Jobs in the Cyberpunk Landscape: Console Cowboy (aka Hacker):

As seen in: "The Matrix", "Neuromancer" Description: Within the matrix's dizzying expanse, Console Cowboys ride the data streams. They're not just about breaking codes; they create and reshape digital realities. Whether you're battling AI agents or plunging into corporate servers, it’s a dance of dexterity and danger. Skills: Advanced coding, cybernetic interfacing, digital counterintelligence. Combat Specialist:

As seen in: "Ghost in the Shell", "Altered Carbon" Description: These aren’t your average brutes. Combat Specialists combine martial prowess with tech enhancements. Be it thermoptic camouflage or neurally-linked firearms, they are a synthesis of flesh and tech, primed for any skirmish. Skills: Martial arts, tactical combat, weapon proficiency, quick reflexes. Replicant Retirer (aka Blade Runner):

As seen in: "Blade Runner" Description: A grim role blending detective work with the task of 'retiring' renegade replicants. Their job isn't just chase and capture; it’s a psychological game, differentiating human from humanoid. Skills: Investigation, marksmanship, empathy testing, android tech familiarity. Street Samurai:

As seen in: "Shadowrun" Description: Revering ancient traditions while embracing cyber enhancements, Street Samurais tread the fine line between honor and efficiency. Their code binds them, but their tech defines them. Skills: Swordsmanship, cybernetic combat enhancements, honor codes. Cynical Journalist:

As seen in: "Transmetropolitan" Description: In a world overflowing with misinformation, Cynical Journalists are the antidote. Braving corrupt megacorps and perilous streets, they're on a relentless quest for the unvarnished truth. Skills: Investigative research, resilience, tech-savvy reporting, media tools mastery. Modern Equivalents: A Glimpse of Today's Roles: For the Console Cowboy: Today’s ethical hackers and cybersecurity experts are the guardians of our digital frontier. They probe systems, shore up defenses, and ensure the nefarious netrunners are kept at bay.

For the Combat Specialist: Modern martial arts instructors, stunt coordinators, and even private security personnel embody this spirit. They’re trained to react, defend, and when necessary, go on the offensive.

For the Replicant Retirer: Look no further than forensic investigators or criminal profilers. These experts dissect evidence, track down leads, and ensure justice in a world filled with ambiguities.

For the VR and AR Enthusiasts: The realm of AR and VR development is expanding. Developers and architects shape immersive worlds, blurring the lines between tangible and digital.

For the Fearless Journalist: Today's investigative journalists mirror their cyberpunk counterparts. They dive into the dark recesses of society, shining a light on hidden truths.

For the Augmentation Junkies: Bioengineers and prosthetics designers are crafting the future. From bionic limbs to neural enhancements, they’re making sci-fi a reality.

Neon Nights & Silvered Days… Whether you're a chrome junkie or a data diva, the streets of tomorrow are echoing today. The neon-soaked horizon of our dreams is morphing into our reality. So, gear up, futurepreneurs; destiny's waiting, and she's decked out in LEDs.

Cyber out,

- Raz

#cyberpunk #careers

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follow-up-news · 10 months

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In total, THR spotted some half-dozen AI-focused jobs at Disney. But the company is far from alone in exploring the space. Netflix made some headlines after The Intercept noticed an AI Product Manager job that promises compensation of up to $900,000. [...] And the hiring comes amid a larger job pullback at many of these companies. Disney just finished laying off some 7,000 employees, and Paramount, Warner Bros. Discovery, Amazon and others have had painful cuts in recent months. But jobs focused on AI appear to be an exception.

#ai #amptp #disney #netflix #amazon #apple #sony

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study-in-uk-msm-unify · 5 months

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Emerging Industries: Opportunities in the UK Job Market

Planning to study in the UK? Want to explore career opportunities in the United Kingdom?

In the ever-evolving world, the UK stands as a hub for innovation and growth, bringing numerous emerging sectors that offer promising career prospects. As technology continues to reshape the global economy, several industries in the UK have captured attention, presenting exciting opportunities for job seekers and entrepreneurs alike. Take a look at some of the career opportunities you could take advantage of.

1. Fintech (Financial Technology)

The UK has strengthened its position as a leading fintech hub, with London being a prominent center for financial innovation. Fintech includes a wide array of sectors, including mobile payments, blockchain, and cybersecurity. Job opportunities in this field span software development, data analysis, financial consultancy, and regulatory compliance.

2. Technology and IT

In the emerging era of the digital world, technology continues to dominate businesses worldwide. As, a result the demand for technologically advanced professionals tends to rise. Software developers, data analysts, cybersecurity experts, and artificial intelligence specialists roles are in high demand. With the increasing use of technologies and the need for innovative solutions, these roles offer tremendous growth opportunities and competitive salaries.

3. Healthtech

The combination of healthcare and technology has given rise to HealthTech, a sector dedicated to enhancing medical services through innovative solutions. From telemedicine to health analytics and AI-driven diagnostics, HealthTech offers diverse career paths for healthcare professionals, software developers, data scientists, and researchers.

4. Renewable energy and sustainability

With an increased focus on sustainability and combating climate change, the UK has been investing significantly in renewable energy sources. Wind, solar, and hydroelectric power are among the sectors experiencing rapid growth. Job roles in renewable energy range from engineering and project management to research and policy development, catering to those passionate about environmental conservation.

5. Cybersecurity

With the increasing frequency of cyber threats, the demand for cybersecurity experts is on the rise. Businesses and governments are investing heavily in safeguarding digital infrastructure. Job roles in cybersecurity encompass ethical hacking, network security, data protection, and risk analysis, presenting ample opportunities for skilled professionals in this field.

6. Artificial Intelligence and Machine Learning

AI and machine learning are revolutionizing various industries, including finance, healthcare, and manufacturing. The UK is fostering innovation in AI research and development, offering roles in AI programming, data engineering, robotics, and AI ethics.

7. Creative industries

The UK has a rich heritage in the creative sector, encompassing fields like media, design, gaming, and entertainment. Roles in creative industries span from content creation and graphic design to video production and game development, appealing to individuals with artistic and technical skills.

In conclusion, the UK job market is filled with opportunities within emerging industries, showing the nation's commitment to innovation and progress. Whether one's passion lies in sustainability, technology, healthcare, or creative endeavors, these sectors offer an array of possibilities for career growth and contribution to shaping the future.

By embracing change, acquiring relevant skills, and staying adaptable, individuals can position themselves to thrive in these dynamic and promising industries, contributing to both personal success and the advancement of these transformative sectors in the UK.

If you are struggling to get the right guidance, please do not hesitate to consult MSM Unify.

At MSM Unify, you can explore more than 50,000 courses across 1500+ educational institutions across the globe. MSM Unify has helped 1,50,000+ students achieve their study abroad dream so far. Now, it is your turn to attain your study-abroad dreams and elevate your professional journey! So, get ready to broaden your horizons and make unforgettable memories on your upcoming adventure.

#studyabroad #studyinuk #overseaseducation #studyabroaduk

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ellocentlabsin · 10 months

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Top Artificial Intelligence and Machine Learning Company

In the rapidly evolving landscape of technology, artificial intelligence, and machine learning have emerged as the driving forces behind groundbreaking innovations. Enterprises and industries across the globe are recognizing the transformative potential of AI and ML in solving complex challenges, enhancing efficiency, and revolutionizing processes.

At the forefront of this revolution stands our cutting-edge AI and ML company, dedicated to pushing the boundaries of what is possible through data-driven solutions.

Company Vision and Mission

Our AI and ML company was founded with a clear vision - to empower businesses and individuals with intelligent, data-centric solutions that optimize operations and fuel innovation.

Our mission is to bridge the gap between traditional practices and the possibilities of AI and ML. We are committed to delivering superior value to our clients by leveraging the immense potential of AI and ML algorithms, creating tailor-made solutions that cater to their specific needs.

Expert Team of Data Scientists

The backbone of our company lies in our exceptional team of data scientists, AI engineers, and ML specialists. Their diverse expertise and relentless passion drive the development of advanced AI models and algorithms.

Leveraging the latest technologies and best practices, our team ensures that our solutions remain at the cutting edge of the industry. The synergy between data science and engineering enables us to deliver robust, scalable, and high-performance AI and ML systems.

Comprehensive Services

Our AI and ML company offers a comprehensive range of services covering various industry verticals:

1. AI Consultation: We partner with organizations to understand their business objectives and identify opportunities where AI and ML can drive meaningful impact.

Our expert consultants create a roadmap for integrating AI into their existing workflows, aligning it with their long-term strategies.

2. Machine Learning Development: We design, develop, and implement tailor-made ML models that address specific business problems. From predictive analytics to natural language processing, we harness ML to unlock valuable insights and improve decision-making processes.

3. Deep Learning Solutions: Our deep learning expertise enables us to build and deploy intricate neural networks for image and speech recognition, autonomous systems, and other intricate tasks that require high levels of abstraction.

4. Data Engineering: We understand that data quality and accessibility are vital for successful AI and ML projects. Our data engineers create robust data pipelines, ensuring seamless integration and preprocessing of data from multiple sources.

5. AI-driven Applications: We develop AI-powered applications that enhance user experiences and drive engagement. Our team ensures that the applications are user-friendly, secure, and optimized for performance.

Ethics and Transparency

As an AI and ML company, we recognize the importance of ethics and transparency in our operations. We adhere to strict ethical guidelines, ensuring that our solutions are built on unbiased and diverse datasets.

Moreover, we are committed to transparent communication with our clients, providing them with a clear understanding of the AI models and their implications.

Innovation and Research

Innovation is at the core of our company. We invest in ongoing research and development to explore new frontiers in AI and ML. Our collaboration with academic institutions and industry partners fuels our drive to stay ahead in this ever-changing field.

Conclusion

Our AI and ML company is poised to be a frontrunner in shaping the future of technology-driven solutions. By empowering businesses with intelligent AI tools and data-driven insights, we aspire to be a catalyst for positive change across industries.

As the world continues to embrace AI and ML, we remain committed to creating a future where innovation, ethics, and transformative technology go hand in hand.

#best software development company #artificial intelligence #software development company chandigarh #ai and ml #marketing #artificial intelligence for app development #artificial intelligence app development #machine learning development company

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jiya003sblog · 10 months

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THE IMPACT OF AI ON THE JOB MARKET

As we explore the world of AI, it becomes clear that it is not just a passing fad but a powerful force that will endure. While AI can undoubtedly assist us in achieving incredible accomplishments, it is essential to acknowledge its impact on employment prospects.

The effects of AI on the job market are intricate and varied, ranging from job replacement to job creation.

In this blog post, we will examine 7 significant ways in which AI is affecting the job market and influencing the future of work.

AUTOMATE REPETITIVE TASKS: Automating a task involves utilizing technology to carry out a task that was previously done by humans. Employees can now avoid wasting time on repetitive tasks and focus on more important and high-value tasks, leading to increased efficiency and productivity.

*AUTOMATE REPETITIVE TASKS AND BENEFITS:

save time and money.

reduce human error and improve reliability.

reduce costs and increase profits.

enhanced productivity.

improved workflow.

CREATION OF NEW JOB OPPORTUNITIES: The rise of AI may lead to some job loss, but it's also creating new opportunities in fields such as machine learning engineering, data science, AI ethics and cyber security. These professionals are in high demand and receive competitive compensation for their work. Ethical experts ensure that AI systems adhere to moral principles, while cyber security specialists shield them from external threats.

INCREASED DEMANDS FOR SOFT SKILLS: Soft skills are interpersonal abilities that allow people to communicate effectively in personal and professional settings. These include critical thinking, problem-solving, adaptability, teamwork, creativity, emotional intelligence, leadership, and communication. Exceptional soft skills help people build relationships, resolve conflicts, motivate others, and succeed in their careers.

DISPLACEMENT OF JOBS: Although AI may lead to job displacement, history has proven that it also creates new job opportunities. Humans have the ability to adapt and utilize their unique skills. Negative effects can be minimized through re-skilling, lifelong learning, and supportive policies. By acknowledging AI as a tool for augmentation, we can pave the way for a future where humans and AI collaborate to enhance productivity and foster innovation.

IMPACT ON WAGES: AI's impact on employment can lead to stagnating or declining wages. As AI is implemented in certain job functions, the demand for human labor in these areas dwindles, resulting in lower wages.

IMPACT ON THE GIG ECONOMY: Based on our research, AI can enhance the performance of gig workers by enabling less experienced individuals to achieve similar outcomes as more experienced workers. This leads to higher customer satisfaction and revenue per order. However, it is important to note that there are limits to technology adoption and excessive reliance on AI can decrease productivity.

To conclude, in today's modern world, the job market has been significantly transformed by the emergence of AI technology. With the automation of repetitive tasks and the introduction of new skill requirements, the impact of AI has been far-reaching and has affected a large number of industries. As AI technology continues to evolve and become more sophisticated, it is critically important for workers to stay informed and to take proactive measures to upskill and retrain in order to remain competitive in the job market. By staying on top of the latest trends and developments in their respective fields, workers can position themselves for success and ensure long-term job security.

Written and presented by Jiya Rai

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epicspheal · 1 year

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I've been thinking a bit about my OCs since their all champions and what was that "it factor" for them that allowed them to claim to the title For Jack, it's surprisingly his work ethic. I say surprisingly because he is a royal and the majority of royals tend to have a silver spoon stuck in their mouths. He does have as well, but he manages to actually work on building his team and training them compared to say the likes of Sordward and Shieldbert. And feeding them curry so they have a strong bond with him. That also makes the whole turning his team into shadow Pokemon in a last-ditch effort to attempt to ensure his victory over Leon even more heartbreaking. Adding to that, Jack is easily one of the most ruthless of my Champion OCs...but he's in line with other older champions (think around Mustard and Alder's age, like Professor Oak) who were incredibly ruthless battlers. Then you have little miss Calla who is by far the most tenacious of my champion OCs. She has to be as a poison-type specialist in order to make up for the lack of offensive presence. It took her a lot of effort into crafting strategies and movesets to allow her poison types to shine and secure wins especially under the strict rules of the Galarian League challenge which meant she could only lose to any gym leader 3 times before automatically being kicked out. This also makes Calla one of the more outright strategic battlers in cactusverse especially in Galar which tends to focus a bit more offensive techniques. Valen is easily my most adaptable champion OC. His AI allows him to quickly scan the battle field, the various conditions and be able to come up with plans for his Pokemon. If a plan fails, no problem! He can come up with another one faster than the human mind can think. He's also incredibly friendly. Like generally my champion OCs all have good bonds with their Pokemon, but Valen takes it to like Red Levels of bonding if not higher. His ability to bond with wary legendaries like Mewtwo and Ultra Necrozma and calm down the various Ultra beasts gives him an absolute edge in battle as his Pokemon are willing to fight for him no matter what

Jabari, being a huge user of mega evolution and bond phenomenon also prioritizes high bonds with his Pokemon making them that much more in sync and allowing them tank hits and statuses they otherwise wouldn't out of affection for him. Jabari is also the most experimental of my champion OCs as he is willing to test out various strategies, moves, items, and gimmicks to see what works and what doesn't for his team. Marsha is easily my most daring of the champion OCs. Given that she's not afraid to punch the lights out of the likes of Lusamine and Rainbow Rocket Giovanni and Ghetsis it stands to reason that her daring attitude would transfer over to her battling style. While she is very calculated in battling she's not afraid to put it all on the line and at the highest levels of battling sometimes that's what it takes to secure the win. She also tends to be very opportunistic as she takes advantage of any statuses that may hinder her opponent. Cami is extremely resourceful and hardworking of the champion OCs. She's no battle prodigy by any means so she had to be willing to learn from others and take what she liked from them to make her own unique battle strategy. She wasn't afraid to take it slow, tackling the gyms and eventually the league in between her rigorous medical school classes. She's also probably the most cautious of my champion OCs owing to her medical background. Sometimes this has definitely worked against her in battle but many times it's worked in her favor as it allowed her to take advantage of her opponents who favored riskier strategies

#cactusverse #pokemon oc

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thejaymo · 1 year

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Digital Narration from Apple Books

Apple just launched digital narration service using voice synthesis!

From the Forbes article:

The initial target: long-tail books that will never be worth paying a human narrator for.

“More and more book lovers are listening to audiobooks, yet only a fraction of books are converted to audio — leaving millions of titles unheard,” Apple says. “Many authors — especially independent authors and those associated with small publishers — aren’t able to create audiobooks due to the cost and complexity of production.”

Apple is releasing four voices to start, two female and two male. Voices are optimized for specific genres of books, so Jackson is intended for fiction or romance with a deep, somewhat husky voice, while Helen is a soprano designed for nonfiction and self-development.

If you click though to the Apple authors announcement you can hear samples of the 4 voices. They are in my opinion, extremely listenable.

Understandably, I've seen a lot of people railing against the move. People worried about putting voice actors / narrators out of work. Other commentators question listener fatigue and the sort of attention level that can be given to an AI generated voice over a long period. But also, good for small authors, the cost of producing and audio book (even if you do it yourself) is colossal. I think AI voiced long tail / self published books will be really popular.

I know people (Ross I'm looking at you) who use over cranked TTS voiceover voices to read PDFs and other non fiction to them in the car when they are driving around, this voices are much more natural and will be popular if *built in* to devices int he near future.

Growing up in the 90's AI / Computers speaking were supposed to sound like HAL, Marvin the Robot or Stephen Hawking.

Instead we got the the TikTok lady. Which had its own crazy 'ethics in AI model creation' story a few years ago.

I was thinking recently that the TikTok lady has - at this point - got to be the most famous voice in the western world? An order of magnitude more famous than any living person surely?

Also I'm still laughing about the 'Boiling my husband alive in oil 🥰' post I reblogged yesterday.

Anyways, I built my own voice model last year using the 10's of hours of podcast's I've recorded. I've been sneakily using it for replacement here and there in my new interview show. Unless you looked at my working files, no one will ever ever know. I wonder how many professional voice actors who narrate for a living also have their own custom models too?

Whats interesting to me about Apple's move is the 4 voices optimised for different kinds of genre out the gate?

The chirpy upward inflection of the TikTok lady voice is optimised to deliver meaning as clearly as possible inside the typographic container of TikTok's media environment.

Audiobook producers of course have been making casting decisions for years around content and narrator but it seems significant to me that right out the gate there are certain kinds of voices best suited for certain kinds of content?

Theres a big difference of course between hearing and listening (cf Pauline Oliveros, R. Murray Schafer, Deep Listening etc).

Comprehension is always an active process. The philosopher Mortimer J. Adler talks about how teaching and learning are a reciprocal process

“Just as teaching will not avail unless there is a reciprocal activity of being taught, so no author, regardless of his skill in writing, can achieve communication without a reciprocal skill on the part of readers.”

The same is also true of effective storytelling. There is the teller of stories and the person being told.

I want AI voice Narration to be turned up to 11 - tomorrow. The optimisation of Human-Like voices to deliver meaning I'm convinced could be pushed a lot further.

Why not create a Human-Like voice that is optimised to deliver meaning at 2/3x speeds?

What does a synthesised voice that reaches 'I know kung-fu' levels of comprehension to a willing and active listener even sound like?

At that level of speed and active comprehension do we need to tweak for realism or optimise for something else?

#Ai #audiobook #audiobook narrator #narrator #human narrator #ai voice #tiktok #meaning #reading #reading comprehension #voice synthasis #apple #audiobooks #self publishing

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aarvyedutech · 15 hours

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What is the future of graphic designers?

Title: Navigating the Future: The Evolution of Graphic Designers At Aarvy Edutech

With visuals ruling communication, graphic design is becoming even more important. The way graphic designers work is about to change dramatically as technology advances, people's preferences shift, and new design styles become popular. This blog will explore what the future holds for graphic designers, including the challenges they'll face, the new possibilities that await them, and the design trends that will shape their work.

The Fusion of Creativity and Technology:

One of the most prominent trends shaping the future of graphic design is the fusion of creativity with cutting-edge technology. With the rise of AI-powered design tools and augmented reality (AR) experiences, designers are empowered to push the boundaries of their creativity like never before. AI algorithms can analyse data to inform design decisions, streamline repetitive tasks, and even generate preliminary design concepts. While some may fear that AI will replace human designers, the reality is quite the opposite. Instead of rendering designers obsolete, AI serves as a powerful tool to enhance their capabilities, allowing them to focus on higher-level creative tasks and strategic thinking.

2. Embracing Sustainability and Ethical Design:

The growing emphasis on sustainability and social responsibility demands a shift in graphic design. Designers must prioritise eco-friendly materials and promote diversity and inclusion within their creations. This ethical and sustainable approach empowers them to be agents of positive change, shaping a brighter future.

3. Adapting to Evolving Design Trends:

As consumer preferences evolve, so too must the design trends that shape our visual landscape. In the future, graphic designers will need to stay attuned to emerging design trends and cultural shifts to remain relevant and competitive in the industry. From minimalist design aesthetics to bold typography and immersive multimedia experiences, the palette of design possibilities is vast and ever-changing. Flexibility, adaptability, and a willingness to experiment will be essential traits for graphic designers navigating the dynamic terrain of design trends.

4. Collaboration and Interdisciplinary Skills:

The future of graphic design is all about teamwork! To solve complex design problems, designers will be working alongside experts like UX specialists, content planners, and data analysts. This means being a great communicator and collaborator. Even better, if designers can understand how design connects with other fields like tech, marketing, and even psychology, they'll be superstars at creating fresh ideas that truly connect with people.

5. The Rise of Remote and Freelance Work:

The traditional model of graphic design employment is giving way to a more decentralised and flexible work landscape. As technology enables seamless collaboration across geographical boundaries, many graphic designers are opting for remote or freelance work arrangements. This shift towards remote work offers designers greater freedom and autonomy over their schedules, allowing them to pursue projects that align with their interests and values. However, it also presents challenges in terms of maintaining work-life balance, fostering team cohesion, and navigating the complexities of freelance entrepreneurship.

#graphic design #future of graphic #graphic #best course #upcoming #10 year #digital marketing #programming #coding #tumblr milestone

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aijustborn · 9 days

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#SEOwithGemini

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project-management-234 · 10 days

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Courses for Artificial Intelligence Certification: Unlocking the Future

Artificial Intelligence (AI) is driving technical innovation in the current digital era, reshaping businesses and changing how people connect with the outside world. AI is becoming more and more prevalent across many industries, which is driving up demand for qualified experts in this industry. Enrolling in the best artificial intelligence course certification program can lead to interesting job prospects in addition to providing individuals with the knowledge and abilities they need to succeed in this changing environment. This article delves into the topic of AI certification programs, examining the top choices and emphasizing their importance in the AI era.

Comprehending Certification Programs in Artificial Intelligence

Courses for artificial intelligence certification are organized programs meant to give students a thorough understanding of ai certification and technologies as well as practical abilities. Numerous subjects are covered in these courses, including robots, computer vision, natural language processing, deep learning, machine learning, and more. Through projects, case studies, and real-world applications, participants obtain practical experience that empowers them to confidently take on challenging AI problems.

Top Courses for Artificial Intelligence Certification

IBM's Coursera AI Engineering Professional Certificate: This curriculum, which was created in partnership with IBM, provides a thorough understanding of AI and machine learning. It gives students a strong foundation in AI engineering by covering a variety of AI principles, tools, and methodologies.

edX: The AI Professional Program from Microsoft The Microsoft program delves into the theory and applications of artificial intelligence, encompassing computer vision, natural language processing, and reinforcement learning. Learners use Microsoft Azure AI services to obtain real-world experience.

Udacity - AI Nanodegree: This curriculum focuses on applying practical AI knowledge through hands-on projects in deep learning, reinforcement learning, and neural networks. Students work on practical AI applications and get tailored feedback from professionals in the field.

Stanford University - AI for Everyone: This course offers a thorough introduction to AI concepts, ethics, and ramifications. It is intended for professionals who are not technical. Attendees get knowledge on how AI is changing several sectors and society at large.

Deep Knowledge.AI - Deep Learning Specialization: Under the direction of AI pioneer Andrew Ng, this specialization covers the foundations of deep learning, including sequence models, neural networks, and convolutional networks. Building deep learning models for a variety of applications becomes second nature to participants.

Importance of AI Certification

Career Advancement: By certifying one's proficiency with AI technology, an AI certification improves one's chances for employment. It provides access to a variety of career paths, such as those in machine learning, AI research, data science, and AI engineering.

Skill Validation: Candidates with demonstrated AI skills are in greater demand by employers. A certification offers candidates a competitive edge in the labour market by providing verifiable proof of competency in AI ideas, algorithms, and technologies.

Be Relevant: To stay ahead in an area that is continually growing, like artificial intelligence, one must always be studying. Professionals may adjust to new trends and technologies with the knowledge and skills gained via certification courses, which offer the most recent information.

Networking Opportunities: Enrolling in AI certification programs allows people to meet professionals who share their interests and are industry specialists. Within the AI community, networking opportunities promote cooperation, knowledge exchange, and professional development.

Global Recognition: Credibility and recognition are extended globally to certifications from respectable institutions. They open up job options locally and globally by showcasing their AI expertise to organizations across the globe.

In summary

Courses on artificial intelligence certification are essential for equipping people with the skills they need to succeed in the ai certification course era. These courses provide priceless learning opportunities and job potential for both seasoned professionals seeking to upskill and novices keen to enter the area. Investing in an AI certification allows you to influence innovation and technology in the future in addition to learning valuable skills. Accept the challenge, realize your potential, and start your revolutionary artificial intelligence career.

#AI #ArtificialIntelligence #CertificationCourse #MachineLearning #DeepLearning #AIEngineer

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govindhtech · 10 days

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Global AI governance exists in a complex & dynamic ecosystem

AI governance platform

The environment of global AI governance is complicated and changing quickly. Important themes and issues are starting to surface, but government organizations should be proactive and assess their priorities and procedures in-house. The last step is only to ensure that official policies are followed using auditing tools and other techniques. The foundation for successfully operationalizing governance is human-centered and consists of creating centers of excellence and agency-wide AI literacy, identifying responsible leaders, obtaining funded mandates, and combining knowledge from the public, nonprofit, and commercial sectors.

The environment of global governance The OECD Policy Observatory now maintains a list of 668 national AI governance projects from 69 nations, territories, and the European Union. These include national agendas, goals, and strategies; agencies tasked with coordinating or overseeing AI; stakeholder or expert public consultations; and projects aimed at implementing AI in the public sector. Furthermore, the OECD classifies legally binding AI standards and rules apart from the previously stated projects, including an additional 337 initiatives in this category.

It might be challenging to define the word governance. When referring to AI, it can mean government-mandated regulations, policies governing data access and model usage, or the safety and ethical boundaries of AI tools and systems themselves. As a result, observe that different national and international recommendations approach these overlapping and crossing meanings. Because of all these factors, AI governance ought to start at the conceptual stage and go on throughout the AI solution’s lifecycle.

Common issues, themes As demonstrated by the recent White House directive establishing AI governance committees in U.S. federal agencies, government agencies generally aim for governance that supports and strikes a balance between societal concerns of economic success, national security, and political dynamics. In the meantime, a lot of private businesses appear to place a higher priority on economic prosperity, emphasising productivity and efficiency as the keys to both business success and shareholder value. Some businesses, like IBM, place particular emphasis on incorporating guardrails into AI workflows.

Academics, non-governmental organisations, and other specialists are also issuing guidelines that are helpful to public sector institutions. The Presidio AI Framework (PDF) was released this year by the AI Governance Alliance of the World Economic Forum. It “provides a secure way to create, apply, and use generative AI.” The framework highlights safety problem-solving opportunities and gaps. from the viewpoints of four main actors: consumers of AI applications, authors of AI models, adapters of AI models, and users of AI models.

Certain regulatory themes are emerging that are common to many businesses and sectors. For example, it is becoming more and more prudent to inform end users about the existence and purpose of any AI they are using. Leaders need to guarantee consistency in output, defence against criticism, and a practical dedication to social responsibility. Fairness and objectivity in training data and output should be prioritised, environmental effect should be kept to a minimum, and accountability should be raised through organization-wide education and the designation of accountable persons.

Policies alone are insufficient Regardless of whether they are drafted with rigour or comprehensiveness, governance policies are merely guidelines regardless of whether they are enforced formally or through soft law. What matters is how organisations implement them. As an illustration, New York City formalised its AI principles in March 2024 and released its own AI Action plan in October 2023. These guidelines supported the aforementioned themes, such as the idea that AI technologies “should be tested before deployment,” but they also encouraged people to disobey the law. This was the case with the AI-powered chatbot the city implemented to respond to inquiries regarding opening and running a business. Where did the execution go wrong?

A participative, responsible, and human-centered approach is necessary for operationalizing government. Let’s examine the three crucial steps that organizations need to do:

Name responsible leaders and provide the resources they need to carry out their duties Accountability is necessary for trust to exist. Government agencies need accountable executives who are mandated by funding to operationalize governance structures. To provide just one example of a knowledge gap, we’ve spoken with a number of senior technology professionals who are unaware of the possibility of data bias. Data is a product of the human experience and can solidify injustice and worldviews. AI might be thought of as a mirror reflecting back to us their own prejudices. They must find responsible leaders who grasp this and who can be held accountable for making sure their AI is run ethically and in line with the values of the community it serves, in addition to providing them with financial support.

Offer instruction in applied governance Numerous organisations are hosting hackathons and AI “innovation days” with the goal of increasing operational efficiencies (i.e., cutting expenses, involving citizens or staff, and other KPIs). They suggest expanding the scope of these hackathons to tackle the difficulties associated with AI governance by taking the following actions:

Step 1 Have a prospective governance leader give a keynote address on AI ethics to hackathon attendees three months prior to the pilots’ presentation.

Step 2 Assign the role of event judge to the government agency creating the policy. Give criteria for evaluating pilot projects that take into account the functional and non-functional needs of the model being used, as well as AI governance artefacts (documentation outputs) such as factsheets, audit reports, and layers-of-effect analyses (intended, unintended, primary, and secondary impacts).

Step 3 Provide the teams with applicable training on creating these artefacts through workshops based on their individual use cases for six to eight weeks prior to the presentation date. Encourage diversified, multidisciplinary teams to participate in these workshops with development teams to help them evaluate ethics and predict risk.

Step 4 Have each team present their work holistically on the day of the event, showing how they have evaluated and would reduce different risks related to their use cases. Each team’s work should be questioned and assessed by judges with credentials in cybersecurity, regulation, and domain expertise.

Based on ibm expertise providing practitioners with applicable training related to highly specific use cases, these timetables have been developed. It places team members in the position of astute governance judges while allowing aspiring leaders the opportunity to carry out the actual task of governance under the supervision of a coach.

However, hackathons are insufficient. In three months, one cannot learn everything. Agencies should make the investment to create an AI literacy education culture that encourages lifelong learning, including the occasional rejection of preconceived notions.

Assess inventory using methods other than algorithmic impact analyses Algorithmic impact assessment forms are widely used by organisations that create a large number of AI models as their main tool for collecting pertinent inventory metadata and evaluating and reducing the risks associated with AI models prior to deployment. These forms merely ask about the AI model’s goal, training data and methodology, responsible parties, and concerns over uneven impact. They do not ask questions about AI model owners or procurers.

The employment of these forms in isolation without rigorous education, communication, and cultural considerations raises a number of concerns. Among them are:

Rewards Are people encouraged or discouraged from carefully completing these forms? discover that most are under pressure to reach quotas, which disincentivizes them.

Acceptance of risk These documents may suggest that because a model was obtained from a third party or that they utilised a specific technology or cloud host, the model owners will be released from liability.

Relevant AI definitions It’s possible that model owners are unaware that what they are installing or acquiring fits the regulatory definition of intelligent automation, or AI.

Ignorance of the varying effects One could argue that an accurate assessment of differential impact is intentionally removed by placing the burden of completion and submission of an algorithmic assessment form on a single individual.

Ibm have seen alarming form submissions from AI practitioners who claim to have read the published policy and comprehend its ideas, as well as those from a variety of educational backgrounds and geographic locations. These entries include things like “There are no risks for disparate impact as I have the best of intentions,” and “How could my AI model be unfair if I am not gathering PII.” These highlight the pressing need for practical training and a corporate culture that regularly compares model conduct to well-defined ethical standards.

Fostering a collaborative and accountable culture As organisations struggle to manage a technology that has such a broad influence, a participatory and inclusive culture is crucial. Diversity is a mathematical factor, not a political one, as ibm have previously discussed. Multidisciplinary centres of excellence play a crucial role in ensuring that staff members are knowledgeable, accountable AI users who are aware of the dangers and varying effects. Organisations should emphasise that everyone bears accountability, not only model owners, and integrate governance into collaborative innovation initiatives. They need to find really responsible leaders who address governance problems from a socio-technical standpoint and who are open to new ideas for reducing the risk associated with AI, whether they come from governmental, non-governmental, or academic sources.