A man gets his Covid and flu vaccine shot at Boston city hall on 7 January 2026. A man gets his Covid and flu vaccine shot at Boston city hall on 7 January 2026. Adults in the US who frequently seek out health advice from artificial intelligence chatbots are more likely to believe myths about vaccines, according to a poll released on Tuesday by health research firm KFF. The survey, which was conducted in May and polled a representative sample of 2,480 US adults, found that use of AI tools and chatbots correlated with belief in falsehoods such as vaccines causing autism or that the measles vaccine poses more danger than the corresponding virus. The connection remained while controlling for factors such as age, race, education and political partisanship.

The news: Our most recent forecast shows that conversational AI adoption is growing. In 2021, 64.2% of US adults between the ages of 25–34 used a voice assistant. Overall, 46.9% of US adults will use a voice assistant in 2022, 48.2% by 2025. Conversational AI is on track to become a mainstream technology in practically every vertical. The problem: Conversational AI tools are popularly limited in use to voice assistants (Siri and Alexa) and chatbots due to issues with user experience in other tools like more advanced voicebots.

The coronavirus pandemic expedited the digital transformation underway in healthcare, and patients and providers alike saw benefits to the new tech and virtual solutions. Telehealth appointments, remote patient monitoring services, and amended insurance offerings were able to extend quality care to consumers at a quicker and less-expensive rate. But incumbent healthcare institutions should keep an eye out for big tech companies encroaching on their space, as companies including Alphabet, Amazon, Apple, and Microsoft try to sway consumers from traditional healthcare players through consumer-first, tech-focused approaches. Below, we run through the trends and transformations taking place within the healthcare ecosystem, and outline what traditional health players can do to stay ahead of big tech competitors. While the healthcare industry was slow-moving when it came to digital solutions, COVID-19 upended the entire health ecosystem, including insurance, healthcare delivery, and pharmaceutical spaces.

What is the state-of-AI in July 2019? Recent surveys, studies, and forecasts illustrate future expectations and current realities regarding the impact of AI on jobs; the conditions, challenges, and benefits of AI adoption; and bits of data related to data or AI fuel.

So, you know that prototype we showed you? Turns out AI in real world conditions is hard. That's what would allow them to acquire common sense, in the end." It feels like the 1990s all over again. The company will be able to keep spending, and its spending will keep making it more powerful" ([1]) "What has surprised AWS as the cloud has evolved … I don't think in our wildest dreams we ever thought we'd have a six- to seven-year head start" ([1]) … and that is true in retail for Amazon as well ([1] [2] [3]) "Yahoo is perhaps most famous for destroying all of its best social properties. From its hideous deformations of Flickr and neglect of Upcoming to its starvation of Delicious and torment of GeoCities users, the company excelled at buying great things and turning them into unusable parodies of themselves. Execs seemed to profoundly misunderstand why people used the sites they bought."

American law enforcement agencies have created a massive facial recognition database. If you're an adult in the US, you might already be in it. According to a comprehensive report by the Center for Privacy & Technology at Georgetown Law, the law enforcement's database has 117 million American adults on file. The report says authorities used driver's license IDs from 26 states to build the database, which includes people who've never committed any kind of crime before. That's already a problem in and of itself, but it's compounded by the lack of oversight on how it's used.

Photographs of nearly half of all U.S. adults -- 117 million people -- are collected in police facial recognition databases across the country with little regulation over how the networks are searched and used, according to a new study. Along with a lack of regulation, critics question the accuracy of facial recognition algorithms. Meanwhile, state, city, and federal facial recognition databases include 48 percent of U.S. adults, said the report from the Center on Privacy & Technology at Georgetown Law. The search of facial recognition databases is largely unregulated, the report said. "A few agencies have instituted meaningful protections to prevent the misuse of the technology," its authors wrote.