I want to tell you about one thing that came up in our conversation: efforts to, in some way, monitor encrypted messages.
Policy proposals have been popping up around the world (like in Australia, India, and, most recently, the UK) that call for tech companies to build in ways to gain information about encrypted messages, including through back-door access. There have also been efforts to increase moderation and safety on encrypted messaging apps, like Signal and Telegram, to try to prevent the spread of abusive content, like child sexual abuse material, criminal networking, and drug trafficking.
Not surprisingly, advocates for encryption are generally opposed to these sorts of proposals as they weaken the level of user privacy that’s currently guaranteed by end-to-end encryption.
In the six months since FLI published its open letter calling for a pause on giant AI experiments, we have seen overwhelming expert and public concern about the out-of-control AI arms race — but no slowdown. In this video, we call for U.S. lawmakers to step in, and explore the policy solutions necessary to steer this powerful technology to benefit humanity.
Artificial intelligence (AI) and emerging technologies have ushered in a new era, bringing unprecedented opportunities and challenges. In today’s rapidly evolving digital landscape, addressing these multifaceted challenges necessitates a collaborative effort spanning various sectors and calls for policy reforms while emphasizing global cooperation.
The rapid advancement of technologies, particularly artificial intelligence, has introduced transformative possibilities alongside a range of concerns. While AI holds the potential to revolutionize industries and enhance our daily lives, it also raises pressing issues related to data privacy, misinformation, and cybersecurity.
Experts have proposed adopting the “information environment” framework to address these multifaceted challenges. This framework comprises three essential components:
Tina Woods, serving as Healthy Longevity Champion for the National Innovation Center for Aging, sets forth her vision for a blueprint for healthy longevity for all. Her emphasis is on reaping the “longevity dividend” and achieving five additional years of healthy life expectancy while reducing health and wellbeing inequality. Woods elaborates on the role of emerging technologies like AI, machine learning, and advanced data analysis in comprehending and influencing biological systems related to aging. She also underscores the crucial role of lifestyle changes and the consideration of socio-economic factors in increasing lifespan. The talk also explores the burgeoning field of emotion AI and its application in developing environments for better health outcomes, with a mention of “Longevity Cities,” starting with a trial in Newcastle. In closing, Woods mentions the development of a framework for incentivizing businesses through measurement of their contribution to health in three areas: workforce health, consumer health through products and services, and community health. Woods envisions a future where businesses impacting health negatively are disincentivized, and concludes with the hope that the UK’s healthy longevity innovation mission can harness longevity science and data innovation to improve life expectancy.
00:00:00 — Introduction, National Innovation Center for Aging. 00:00:56 — Discussion on stagnating life expectancy and UK’s life sciences vision. 00:03:50 — Technological breakthroughs (including AI) in analyzing biological systems. 00:06:22 — Understanding what maintains health & wellbeing. 00:08:30 — Hype, hope, important of purpose. 00:10:00 — Psychological aging and “brain capital.“ 00:13:15 — Ageism — a barrier to progress in the field of aging. 00:15:46 — Health data, AI and wearables. 00:18:44 — Prevention is key, Health is an asset to invest in. 00:19:13 — Longevity Cities. 00:21:19 — Business for Health and industry incentives. 00:23:13 — Closing.
While plenty of fury was aimed at how the fee might impact developers’ finances, some of that anger stemmed from Unity’s inability to effectively communicate its new policy and provide clear answers to pertinent questions.
The dust is now supposedly settled, but here’s one more thing: why doesn’t Unity’s explanation for its shifting answers about the Runtime Fee in relation to subscription services hold up to scrutiny?
MENLO PARK, California, Sept 28 (Reuters) — Meta Platforms (META.O) used public Facebook and Instagram posts to train parts of its new Meta AI virtual assistant, but excluded private posts shared only with family and friends in an effort to respect consumers’ privacy, the company’s top policy executive told Reuters in an interview.
Meta also did not use private chats on its messaging services as training data for the model and took steps to filter private details from public datasets used for training, said Meta President of Global Affairs Nick Clegg, speaking on the sidelines of the company’s annual Connect conference this week.
“We’ve tried to exclude datasets that have a heavy preponderance of personal information,” Clegg said, adding that the “vast majority” of the data used by Meta for training was publicly available.
By accepting cookies, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. Cookies SettingsRejectAccept Cookies × By clicking “Accept All Cookies”, you agree to the storing of cookies on your device and the processing of information obtained via those cookies (including about your preferences, device and online activity) by us and our commercial partners to enhance site navigation, personalise ads, analyze site usage, and assist in our marketing efforts. More information can be found in our Cookies and Privacy Policy. You can amend your cookie settings to reject non-essential cookies by clicking Cookie Settings below.
Schmidt has become an indispensable adviser to government, even as some of his investments have won federal contracts.
Eric Schmidt isn’t shy about his wealth and power: The former Google CEO recently won an auction for a superyacht seized from a Russian oligarch, he owns a big stake in a secretive and successful hedge fund and he spent $15 million for the Manhattan penthouse featured in Oliver Stone’s sequel to Wall Street.
He has also leveraged his $27 billion fortune to build a powerful influence machine in Washington that’s allowed him to shape public policy to reflect his worldview and benefit the industries in which he’s deeply invested — most recently, artificial intelligence. When senators meet next week to hear from tech executives and experts about how AI should be regulated, Schmidt will be at the table.
SpaceX has stacked Ship 25 atop Booster 9, and Elon Musk has tweeted ‘Ready for Launch’, NSF’s team examines Starship’s Hardware in this LIVE roundtable discussion.
In our new update show “Countdown to Launch” we will update you regularly on all things Starship flight 2. The goal is to answer all the questions you have about the upcoming launch campaign.
