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#ai health care
jeppesenburt61 · 2 months
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Perceptions And Needs Of Artificial Intelligence In Health Care To Increase Adoption: Scoping Evaluate Pmc
In April 2018, the FDA permitted advertising of this AI-based system to detect more than a light stage of the eye situation diabetic retinopathy in grownup patients (ages 22 and older) diagnosed with diabetes [24], [26]. The doctor uploads the photographs of the patient’s retinas to a cloud server, and the IDx-DR software program then supplies the physician with the recommendation either to rescreen in 12 months or to refer the affected person to an eye fixed specialist when greater than gentle diabetic retinopathy is detected [24]. There are additionally quite a few AI-related payments which have been introduced within the US Congress since Trump’s inauguration on January 20, 2017, such because the SELF DRIVE Act (H.R.3388), the FUTURE of Artificial Intelligence Act of 2017 (H.R.4625 and S.2217), and the AI JOBS Act of 2019 (H.R.827). The SELF DRIVE Act is the one invoice that has handed one chamber (i.e., the US House of Representatives), and none of those payments are immediately related to the ethical and authorized aspects of AI in healthcare. However, the two bills of the FUTURE of Artificial Intelligence Act of 2017, for example, stipulate the Secretary of Commerce to set up a Federal advisory committee that shall present advice to the Secretary [Sec. The new suite of NVIDIA healthcare microservices contains optimized NVIDIA NIM™ AI fashions and workflows with industry-standard APIs, or software programming interfaces, to serve as constructing blocks for creating and deploying cloud-native functions. They offer superior imaging, pure language and speech recognition, and digital biology generation, prediction and simulation. Efficiency in streamlined processes allows medical amenities, doctors, clinicians, and hospital staff to take care of extra patients every day. The commonest affected person complaints surround issues with lengthy wait occasions, billing issues, and never having enough time with the physician. As humans and AI techniques more and more work collectively, it's important that we trust the output of those systems. All this could have given suppliers and health methods more nuance into why anybody lady in the examine may not be capable of adhere to a regimen that includes many workplace visits, multiple medicines per day, bodily activity or neighborhood support groups. The remedy protocols might have included longer-acting medicines, interventions that don’t require journey and more. Holistic approaches to AI development in health care can occur at any point; lived-experience information can inform early stages like drawback definition, information acquisition, curation and preparation levels, intermediate work like mannequin improvement and training, and the final step of outcomes interpretation. Forward Health already has services throughout the United States, including LA, New York, Chicago, SF and Washington, D.C. These locations, which the corporate started opening in 2017, have the same tech-first strategy as CarePods. It can be used to find interactions between a drug compound and a goal, for instance a receptor, and predicts the conformation of the drug compound within the binding website of the target. The docking algorithm then ranks the interactions via scoring capabilities and estimates binding affinity. These are rather easy and plenty of knowledge scientists are engaged on bettering the prediction of drug–target interplay utilizing numerous studying models [24]. Researchers globally are exploring the cellular and molecular foundation of illness, collecting a range of multimodal datasets that can result in digital and biological biomarkers for analysis, severity and development. Two essential future AI applications include immunomics / artificial biology and drug discovery. In the lengthy run, we expect that healthcare clinics, hospitals, social care providers, patients and caregivers to be all linked to a single, interoperable digital infrastructure using passive sensors in combination with ambient intelligence.31 Following are two AI functions in linked care. Currently, AI methods aren't reasoning engines ie can not cause the identical way as human physicians, who can draw upon ‘common sense’ or ‘clinical instinct and experience’.12 Instead, AI resembles a signal translator, translating patterns from datasets. AI systems right now are beginning to be adopted by healthcare organisations to automate time consuming, high volume repetitive duties. Moreover, there's appreciable progress in demonstrating the use of AI in precision diagnostics (eg diabetic retinopathy and radiotherapy planning). healthcare in ai The AI-based diagnostic system to detect intracranial hemorrhages unveiled in December 2019 was designed to be educated on lots of, rather than 1000's, of CT scans. “We have to recognize that getting variety in the coaching of these algorithms goes to be incredibly essential, in any other case we might be in some sense pouring concrete over whatever present distortions exist in follow, such as these due to socioeconomic status, ethnicity, and so forth,” Kohane mentioned. A second challenge is making certain that the prejudices rife in society aren’t mirrored within the algorithms, added by programmers unaware of those they may unconsciously maintain. In a September 2019 concern of the Annals of Surgery, Ozanan Meireles, director of MGH’s Surgical Artificial Intelligence and Innovation Laboratory, and general surgery resident Daniel Hashimoto provided a view of what such a backstop may seem like. They described a system that they’re coaching to help surgeons throughout abdomen surgery by having it view thousands of videos of the process. It can be possible that the outputs of these algorithms are solely valid beneath sure situations or for a certain group of individuals. These research weren't always explicitly clear regarding the significance or sensible which means of resulting performance metrics. For example, efficiency accuracy must be in comparison with medical diagnostic accuracy (as opposed to easily relating these values to chance) in order to interpret medical value [61]. With the advent of modern computational methods, pc learning and AI strategies, there are numerous possibilities [79, 83, 84]. For example, AI makes it simpler to turn information into concrete and actionable observations to improve decision-making, ship high-quality patient remedy, adapt to real-time emergencies, and save extra lives on the clinical front. In addition, AI makes it simpler to leverage capital to develop systems and amenities and scale back bills on the organisational degree [78]. Studying contributions to the topic, we noticed that knowledge accuracy was included within the debate, indicating that a excessive normal of information will profit decision-making practitioners [38, 77]. AI techniques are an essential instrument for finding out knowledge and the extraction of medical insight, they usually could assist medical researchers of their practices. Using computational instruments, healthcare stakeholders might leverage the facility of knowledge not solely to judge previous data (descriptive analytics) but additionally to forecast potential outcomes (predictive analytics) and to define one of the best actions for the present situation (prescriptive analytics) [78]. The centres archive, handle and process a broad range of genomics- and different ’omics-related data, serving as China’s model of databases such as GenBank within the United States and the European Nucleotide Archive, which have been set up within the early Nineteen Eighties. Then in 2017, the AI AlphaGo, developed by Google’s London-based company DeepMind, defeated the world’s number-one Go player Ke Jie — huge information in China, the place the ancient board sport is wildly popular. There has also been a shift in mindset among biomedical researchers in path of using AI methods, says Xue.
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bunnmckee94 · 2 months
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Artificial Intelligence In Healthcare: Recent Purposes And Developments Springerlink
Despite greatest intentions, such selections sometimes lead to suboptimal care because of the complexity of patient care, the increasing duties of healthcare providers, or simply due to human error. The clinical decision-making process is commonly strictly based on normal guidelines and protocols that satisfy safety and accountability requirements. However, deviation from established protocols in complicated care environments may be beneficial for the patient to adapt treatments for a extra personalized regimen. In such dynamic settings, ML strategies may be valuable tools for optimizing affected person care outcomes in a data-driven method, especially in acute care settings. The San Francisco–based company Enlitic develops deep learning medical tools to enhance radiology diagnoses by analyzing medical information. In some instances, these instruments can substitute the need for tissue samples with “virtual biopsies,” which would aid clinicians in figuring out the phenotypes and genetic properties of tumors. The literature was primarily targeted on the ethics of AI in health care, significantly on carer robots, diagnostics, and precision medicine, however was largely silent on ethics of AI in public and inhabitants health. The literature highlighted numerous common ethical concerns associated to privateness, belief, accountability and responsibility, and bias. Largely lacking from the literature was the ethics of AI in global health, particularly within the context of low- and middle-income nations (LMICs). The authors declare that they don't have any potential conflicts of interest with respect to the analysis, authorship, and publication of this article. Data analysis was performed by LP, IL, JMN, PN, MN and PS after which mentioned with all authors. JR and DT supplied important revision of the paper by way of necessary mental content material. I think that automatization via AI could be a protected method and it would be excellent for the primary care companies. ai in healthcare industry It is further stored in the cloud and constant monitoring is finished to avoid complications and readmissions to the hospitals. In addition, AI additionally helps the healthcare system in diagnosis and therapy purposes, affected person engagement and adherence, and administrative functions [6]. AI not only simplifies the work of doctors, nurses, and different healthcare staff but in addition saves an ample amount of time. Thus the adoption of digital options for the prevention, diagnosis, and treatment of varied illnesses is the clever route for India to deal with the goal of offering health for all. The U.S. health care system is underneath strain from an aging population; rising illness prevalence, together with from the present pandemic; and rising prices. New technologies, similar to AI, could augment patient care in health care facilities, including outpatient and inpatient care, emergency services, and preventative care. However, the use of AI-enabled instruments in health care raises a wide range of ethical, legal, economic, and social concerns. Because of them, we're unlikely to see substantial change in healthcare employment as a outcome of AI over the following 20 years or so. However, despite these efforts from many countries, no nation has been capable of systematically resolve the privateness points concerning health care knowledge. The company’s centralized, cloud-based platform powers biopharma firms, life science organizations, healthcare suppliers and academic medical facilities, serving to them identify, curate and prepare medical imaging information to speed up time to perception. The findings counsel that incorporating socioeconomic components into predictive models can improve their accuracy and effectiveness. These fashions have the potential to find sensible utility in clinical settings for figuring out people susceptible to tooth loss, enabling health care professionals to prioritize preventive interventions. Numerous analysis investigations focusing on cervical most cancers and cervical intraepithelial neoplasia (CIN) have documented the applying of AI. The main areas where AI has been employed embrace the evaluation of colposcopy, MR imaging (MRI), CT scans, cytology, and data related to human papillomavirus (HPV) [90]. A part of this hesitation is the necessity for any expertise to be examined earlier than it can be trusted. But there might be additionally the romanticized notion of the diagnostician whose mind accommodates more than any textbook. Powell joined NVIDIA in 2008 with accountability for establishing NVIDIA GPUs because the accelerator platform for medical imaging devices. She spent her early career in engineering and product management of diagnostic display methods at Planar Systems. The integration of artificial intelligence with the healthcare industry is made attainable because of consolidation and sourcing within the cloud. Although there are increasingly extra regulatory guidelines out there, similar to these developed by the World Health Organization [54] and the European Union [55], the use of AI in health care remains debatable because of the challenges in ensuring information privateness and proper information use [56]. This is very true when data collection modes are conducted via third-party apps, such as Facebook Messenger (Meta Platforms), of which privacy insurance policies are ruled by technology corporations and never health care establishments [24]. Moreover, though there are privateness and security precautionary measures, the increasing stories of information leaks and vulnerabilities in digital medical report databases erode inhabitants belief. Future security and transparency measures may consider the usage of blockchain technology, and privateness laws ought to be correctly delineated and clear [57]. In qualitative analysis, the concepts credibility, dependability, and transferability are used to explain different aspects of trustworthiness [72]. In order to create a greater prediction, high-quality, continuous knowledge from multiple domains are required. Also, advancements in health knowledge processing, biosensors, genomics, and proteomics will assist present a complete set of data that will enable perioperative intelligence (19). Incorporating intraoperative knowledge for early detection of issues or medical aberrations could also stop inflammatory reactions that exacerbate the harm or high-risk interventions that may result in iatrogenic injuries. By merging present finest practices for moral inclusivity, software program development, implementation science, and human-computer interplay, the AI community may have the chance to create an integrated finest apply framework for implementation and maintenance [116]. Additionally, a collaboration between multiple health care settings is required to share information and guarantee its quality, in addition to verify analyzed outcomes which shall be critical to the success of AI in clinical follow. Medical colleges are inspired to include AI-related subjects into their medical curricula. A study carried out amongst radiology residents showed that 86% of scholars agreed that AI would change and enhance their follow, and as a lot as 71% felt that AI ought to be taught at medical colleges for higher understanding and application [118]. This integration ensures that future healthcare professionals obtain foundational data about AI and its purposes from the early levels of their training.
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Privacy first
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The internet is embroiled in a vicious polycrisis: child safety, surveillance, discrimination, disinformation, polarization, monopoly, journalism collapse – not only have we failed to agree on what to do about these, there's not even a consensus that all of these are problems.
But in a new whitepaper, my EFF colleagues Corynne McSherry, Mario Trujillo, Cindy Cohn and Thorin Klosowski advance an exciting proposal that slices cleanly through this Gordian knot, which they call "Privacy First":
https://www.eff.org/wp/privacy-first-better-way-address-online-harms
Here's the "Privacy First" pitch: whatever is going on with all of the problems of the internet, all of these problems are made worse by commercial surveillance.
Worried your kid is being made miserable through targeted ads? No surveillance, no targeting.
Worried your uncle was turned into a Qanon by targeted disinformation? No surveillance, no targeting. Worried that racialized people are being targeted for discriminatory hiring or lending by algorithms? No surveillance, no targeting.
Worried that nation-state actors are exploiting surveillance data to attack elections, politicians, or civil servants? No surveillance, no surveillance data.
Worried that AI is being trained on your personal data? No surveillance, no training data.
Worried that the news is being killed by monopolists who exploit the advantage conferred by surveillance ads to cream 51% off every ad-dollar? No surveillance, no surveillance ads.
Worried that social media giants maintain their monopolies by filling up commercial moats with surveillance data? No surveillance, no surveillance moat.
The fact that commercial surveillance hurts so many groups of people in so many ways is terrible, of course, but it's also an amazing opportunity. Thus far, the individual constituencies for, say, saving the news or protecting kids have not been sufficient to change the way these big platforms work. But when you add up all the groups whose most urgent cause would be significantly improved by comprehensive federal privacy law, vigorously enforced, you get an unstoppable coalition.
America is decades behind on privacy. The last really big, broadly applicable privacy law we passed was a law banning video-store clerks from leaking your porn-rental habits to the press (Congress was worried about their own rental histories after a Supreme Court nominee's movie habits were published in the Washington City Paper):
https://en.wikipedia.org/wiki/Video_Privacy_Protection_Act
In the decades since, we've gotten laws that poke around the edges of privacy, like HIPAA (for health) and COPPA (data on under-13s). Both laws are riddled with loopholes and neither is vigorously enforced:
https://pluralistic.net/2023/04/09/how-to-make-a-child-safe-tiktok/
Privacy First starts with the idea of passing a fit-for-purpose, 21st century privacy law with real enforcement teeth (a private right of action, which lets contingency lawyers sue on your behalf for a share of the winnings):
https://www.eff.org/deeplinks/2022/07/americans-deserve-more-current-american-data-privacy-protection-act
Here's what should be in that law:
A ban on surveillance advertising:
https://www.eff.org/deeplinks/2022/03/ban-online-behavioral-advertising
Data minimization: a prohibition on collecting or processing your data beyond what is strictly necessary to deliver the service you're seeking.
Strong opt-in: None of the consent theater click-throughs we suffer through today. If you don't give informed, voluntary, specific opt-in consent, the service can't collect your data. Ignoring a cookie click-through is not consent, so you can just bypass popups and know you won't be spied on.
No preemption. The commercial surveillance industry hates strong state privacy laws like the Illinois biometrics law, and they are hoping that a federal law will pre-empt all those state laws. Federal privacy law should be the floor on privacy nationwide – not the ceiling:
https://www.eff.org/deeplinks/2022/07/federal-preemption-state-privacy-law-hurts-everyone
No arbitration. Your right to sue for violations of your privacy shouldn't be waivable in a clickthrough agreement:
https://www.eff.org/deeplinks/2022/04/stop-forced-arbitration-data-privacy-legislation
No "pay for privacy." Privacy is not a luxury good. Everyone deserves privacy, and the people who can least afford to buy private alternatives are most vulnerable to privacy abuses:
https://www.eff.org/deeplinks/2020/10/why-getting-paid-your-data-bad-deal
No tricks. Getting "consent" with confusing UIs and tiny fine print doesn't count:
https://www.eff.org/deeplinks/2019/02/designing-welcome-mats-invite-user-privacy-0
A Privacy First approach doesn't merely help all the people harmed by surveillance, it also prevents the collateral damage that today's leading proposals create. For example, laws requiring services to force their users to prove their age ("to protect the kids") are a privacy nightmare. They're also unconstitutional and keep getting struck down.
A better way to improve the kid safety of the internet is to ban surveillance. A surveillance ban doesn't have the foreseeable abuses of a law like KOSA (the Kids Online Safety Act), like bans on information about trans healthcare, medication abortions, or banned books:
https://www.eff.org/deeplinks/2023/05/kids-online-safety-act-still-huge-danger-our-rights-online
When it comes to the news, banning surveillance advertising would pave the way for a shift to contextual ads (ads based on what you're looking at, not who you are). That switch would change the balance of power between news organizations and tech platforms – no media company will ever know as much about their readers as Google or Facebook do, but no tech company will ever know as much about a news outlet's content as the publisher does:
https://www.eff.org/deeplinks/2023/05/save-news-we-must-ban-surveillance-advertising
This is a much better approach than the profit-sharing arrangements that are being trialed in Australia, Canada and France (these are sometimes called "News Bargaining Codes" or "Link Taxes"). Funding the news by guaranteeing it a share of Big Tech's profits makes the news into partisans for that profit – not the Big Tech watchdogs we need them to be. When Torstar, Canada's largest news publisher, struck a profit-sharing deal with Google, they killed their longrunning, excellent investigative "Defanging Big Tech" series.
A privacy law would also protect access to healthcare, especially in the post-Roe era, when Big Tech surveillance data is being used to target people who visit abortion clinics or secure medication abortions. It would end the practice of employers forcing workers to wear health-monitoring gadget. This is characterized as a "voluntary" way to get a "discount" on health insurance – but in practice, it's a way of punishing workers who refuse to let their bosses know about their sleep, fertility, and movements.
A privacy law would protect marginalized people from all kinds of digital discrimination, from unfair hiring to unfair lending to unfair renting. The commercial surveillance industry shovels endless quantities of our personal information into the furnaces that fuel these practices. A privacy law shuts off the fuel supply:
https://www.eff.org/deeplinks/2023/04/digital-privacy-legislation-civil-rights-legislation
There are plenty of ways that AI will make our lives worse, but copyright won't fix it. For issues of labor exploitation (especially by creative workers), the answer lies in labor law:
https://pluralistic.net/2023/10/01/how-the-writers-guild-sunk-ais-ship/
And for many of AI's other harms, a muscular privacy law would starve AI of some of its most potentially toxic training data:
https://www.businessinsider.com/tech-updated-terms-to-use-customer-data-to-train-ai-2023-9
Meanwhile, if you're worried about foreign governments targeting Americans – officials, military, or just plain folks – a privacy law would cut off one of their most prolific and damaging source of information. All those lawmakers trying to ban Tiktok because it's a surveillance tool? What about banning surveillance, instead?
Monopolies and surveillance go together like peanut butter and chocolate. Some of the biggest tech empires were built on mountains of nonconsensually harvested private data – and they use that data to defend their monopolies. Legal privacy guarantees are a necessary precursor to data portability and interoperability:
https://www.eff.org/wp/interoperability-and-privacy
Once we are guaranteed a right to privacy, lawmakers and regulators can order tech giants to tear down their walled gardens, rather than relying on tech companies to (selectively) defend our privacy:
https://pluralistic.net/2022/11/14/luxury-surveillance/#liar-liar
The point here isn't that privacy fixes all the internet's woes. The policy is "privacy first," not "just privacy." When it comes to making a new, good internet, there's plenty of room for labor law, civil rights legislation, antitrust, and other legal regimes. But privacy has the biggest constituency, gets us the most bang for the buck, and has the fewest harmful side-effects. It's a policy we can all agree on, even if we don't agree on much else. It's a coalition in potentia that would be unstoppable in reality. Privacy first! Then – everything else!
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If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:
https://pluralistic.net/2023/12/06/privacy-first/#but-not-just-privacy
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Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg
CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en
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sundays-wing-piercing · 2 months
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AS SOMEONE WHOS A FAN OF LAM'S WORK AND SUNDAY (ofc, litterally look at this acc) THE FACT THAT HYV GOT LAM TO DRAW THIS?! guys I actually jumped happily when I saw this omg he is STUNNING. /srs
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sadjialife · 4 months
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I'm starting to love myself more lately ❤
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being-as-an-00ceann · 2 months
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twisted-moose · 3 months
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I love you mute lists
I love you word blacklists
I love you blocklists
I love controlling my online experience so that my ability to exist as a freelancer is not an uphill battle against seeing the constant influx of bad news and burning out as a result of it.
There is nothing wrong with mediating what, when, and how you are exposed to news. It is no one's business how and when you put time, energy, and emotions into something extremely important. Not a single human is entitled to know how you prevent yourself from being spread too thin. You need to take care of yourself before you can sustainably take care of others. "Block and move on" is not just for fiction, it includes real world things that distress and trigger you.
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allycat75 · 27 days
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Flashback Friday: This gives me "Maniacal Tom Cruise, jumping on Oprah's Couch" vibes.
Remember way back at the first forced con where he said those unforgettable words "Go Portugal!"?
If you look closely, you can see part of his soul leaving out the back door, doing its best Irish goodbye. 👋
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wheelchair-wizard · 3 months
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Hi Guy's
A DIFFERENT POST TODAY. A Crazy one.
I Just wanted everyone to know I received
MY FIRST DONATION today.
I'm on a high.I was going to give up.
Then I opened my email today and seen a beautiful message
from Paypal.You received your 1st donation.
I cannot say who as that would not be polite.(MAD :From USA) is the only thing i can say.Thank you M,A,D.
Thank you everyone for sharing my posts and all the support I receive.Hope is back on the menu.I would jump up and down with excitment if I could Ha Ha
.Thanks Guys.Christy
Christy,
Male, Husband, Dad, Family man, Friendly, Easygoing.
Dad's [ Christy ]Electric Wheelchair Fundraiser.
Please only help to support me if you can afford too.
Otherwise please help yourself to my artwork.
It'is genuinely FREE for everyone to download and enjoy.
Just click the Buy me a coffee.It's my artwork Shop.
1000's of Pics.New pic's added every day.
FREE artwork drawings 3d images for all occasions.
Buy me a Coffee https://www.buymeacoffee.com/myfrontdoor .
Paypal donate https://www.paypal.com/donate/?hosted_button_id=UQD48H4SCEEPE .
Patreon support https://www.patreon.com/MyFrontDoor
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gojoest · 7 months
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Ai, you gotta see this… https://twitter.com/artistdkt/status/1721608340457898238?s=46
I fell to my knees in the middle of target 😔
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exp123mon · 3 months
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Gonna steadily (re)post art in bulk fried in Glaze.
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explode-this · 4 months
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fabyottaa · 1 year
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Ciao a tutti, sono stata mesi e mesi senza toccare l'icona di Tumblr. Sono cresciuta e sono cambiata molto da quando l'ho installato per la prima volta. Lascerò la stessa bio perché è comunque un pezzo di me e in qualche modo mi ci ritrovo ancora.🥰
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advestager · 5 months
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A/I STAN IN THE DASH. I REPEAT A/I STAN GOT THROUGH MY FILTERS INTO THE FUCKIN DASH THIS IS NOT A DRILL
#unfollowed immediately but good FUCKIN grief will i ever be free#i don't care if you find it pretty i don't care if it saves you time it is literally built upon#abusing the work of others and fucking over their mental health or livelihoods#for the sake of commodifying what was meant as GENUINE COMMUNICATION with our fellow human beings#i'm not even talking abt like. what it might do to artists or writers#i'm talking abt the people (usually in the global south) who get fucked over by (usually usamerican or western) companies#who don't care about what it does to their mental health to process a fuckton of data that contains graphic fucking atrocities#and pay them pennies by the hour when they DO remember to pay them#it's scummy practices at EVERY level and i'm sorry if you think you're an ~anarchist~#but unless YOU are the one sifting through the bulk of the internet to make a functional prediction machine#(which isn't even SAPIENT the name is just fucking false advertisement)#you can fuck off with your 'nyah nyah you're a crybaby who can't accept progress ppl hated photography too' bullshit#(also like. i Do care abt artists and writers and translators. obviously. but that stupid argument abt how all intellectual property is#the work of satan and that's why ai is Okay Actually drives me up the fucking WALL#tell that to the brother of that artist who has soulless fucking ARSEHOLES making money#off his dead sister's art through ai)#ok. ok ok i'm shutting up now i have no chill when it comes to this subject#ai wank#theftware tag#joji.txt
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evaunit-00 · 8 months
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i am scared of existing in my current state of being!!!!!!!!!!!!!
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exhausted-capybara · 10 months
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So, I keep seeing a lot of posts about AI and how capitalism and a bunch of tech companies are doing massive ethics violations, and I do agree that we should be talking about these things!
But I've also seen people go a bit too far and just kinda not get why those things are bad. The problem isn't AI as a concept, it's how they were implemented and how they're being used.
For example, did you know that phone calls are AI powered? Yes, really. It's not even a new development, they've been using AI / ML models since at least the '70s. VoIP calls like Discord, Google Meet and Zoom use more or less the same technology, so this applies to them as well.
Realistically the only reason they've never been marketed as AI powered is because they come from a time where AI wasn't a giant household buzzword (and in some cases, it was after the first major AI crash, so AI was actively a dirty no-no word if you wanted to get funds). AI really just means "inputs a big ball of data, outputs a crude, but smaller, approximation" - it just so happens that for a bunch of problems, we've found very good small approximations. Which means that please, for the love of all that's unholy, DO NOT harass someone using something that has AI or Machine Learning or terms like that attached, without considering whether that technology in question is actually harmful.
Linear interpolations (any interpolations really, linears are just the most common and banal of them) are technically AI, and yet they're a staple of pretty much every 3D rendering engine. Sometimes they're a cheap hack that makes whatever extremely easier and cheaper to make without compromising on visual accuracy, sometimes they're just *The Right Thing To Do*, and sometimes they're just saving an animator / modeler / etc. that's probably already overworked anyways from doing extra busy work. And yet there have been sightings of people harassing animators because they mentioned using some kind of interpolation during the animating / rigging / modeling process, someone mentioned (correctly in a pedantic sort of way) that it was AI to them before, and they just saw "thing that is AI" and "art" in the same general space and went full "fuck AI mode" on the overworked artist.
The problems with AI we're seeing right now are ethical, but there is ethical usage of AIs (and in fact there is a non negligible amount of accessibility devices that are AI powered), and sometimes that includes industries where there have been the biggest violations so far (generative images, generative sound and generative text). If you don't know enough about the kind of AI / ML model that was used, how it was used in the workflow, how it was trained, etc. Please look into that before going around throwing accusations and making call out posts, because there's a fuckton of things that are technically AI in stuff you use everyday and there are people in the Internet ready to start drama just because it's Tuesday or because the partner of a cousin of a friend of a classmate of their roommate's gym buddy said so.
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