Between world leaders gathering in Seoul this week for the second AI Safety Summit and the launch of Google and OpenAI’s powerful new models Astra and GPT-4o, the timing couldn’t be better. AI feels hotter than ever.
This year’s EmTech will cover everything from how the power of generative AI can be harnessed while mitigating risk and how the technology will impact the workforce, competitiveness, and democracy. We’ll also give you a glimpse into AI labs from Google, OpenAI, Adobe, AWS, and more.
This year’s top speakers include: Nick Clegg, Global President, Meta, which will talk about what the platform is trying to do to curb misinformation. 2024 will see more than 40 national elections around the world, making it one of the most important political years in history. At the same time, generative AI has enabled a whole new era of misinformation. And it’s all coming together through massive changes in social media companies and information platforms. Amy Nordrum, editor-in-chief of MIT Technology Review, will take the stage to explain to Clegg what this means for democracy.
Here are some other sessions I’m looking forward to:
A peek at Google’s plans
Jay Yagnik, Vice President and Engineering Fellow at Google, will share what the history of AI can teach us about where the technology is headed next and discuss Google’s vision for how to leverage generative AI.
At OpenAI Lab
Srinivas Narayanan, Vice President of Applied AI at OpenAI, will share what the company has been building recently and what it plans to build next. In another session, Connor Holmes, who led the video generation AI Sora work, talks about how video generation models can act as world simulators, and what this means for future AI models.
Privacy Issues Often Overlooked in AI
Language models are prone to personal data leaks. In this session, Patricia Thaine, co-founder and CEO of Private AI, explores how to keep secrets private and help organizations comply with privacy regulations.
A word is worth a thousand pictures
Cynthia Lu, senior director and head of applied research at Adobe, explains the AI ​​technology Adobe is building and the ethical and legal implications of the images it creates. I’ve written about Adobe’s efforts to build generative AI in a non-exploitative way and their achievements, so I’d like to hear more about this.
