Siegel Family Endowment’s Post

Out of 8 billion people in the world hardly one billion has access to advanced healthcare and education. If AI is used ethically it is possible to provide reasonable healthcare, education and good quality of life to atleast 3-4 billion people over next 30 years or so. The big issue is will AI be used by a selected few to amass obscene wealth and power or it will be used for real benefit to humanity. #artificialintelligence #ai #macroeconomics #deepmind #google #research #future

Definitely worth reading

Our new essay argues there is a growing imperative for scientists to use AI as they face challenges related to scale and complexity. 🧬 Drawing on interviews with experts who led scientific breakthroughs with the help of AI, we explore the biggest opportunities, give perspectives on the most important ingredients and commonly cited risks - and conclude with a policy agenda for science in the age of AI. Find out more → https://goo.gle/4fAyunn

My recent conversations with AI healthcare startups have been incredibly inspiring. The potential for AI to solve complex problems and accelerate progress in healthcare is truly remarkable. Even starting with simple applications, AI can unlock tremendous value and pave the way for a better future. Technology, when harnessed effectively, has the power to transform healthcare and improve lives.

For those interested in how AI is shaping or influencing the Scientific fields, here is a good article from Google DeepMind where their team explores opportunity areas, risks, and policy suggestions. The aim is to help get a better understanding of how AI could become the next "Scientific Instrument". A couple of ideas we found particularly interesting were the need for more interdisciplinarity (vs multidisciplinarity) and the concern that AI models are trained to minimize anomalies in their training data, whereas scientists often amplify anomalies by following their intuitions about a perplexing data point, potentially impacting creativity in the scientific space. Let us know what you think! #startupsinscience #scienceandai #scientificresearch

What would a 'centralised AI Centre' look like and what are its advantages/disadvantages? ⬇️Rewatch our webinar on AI for science institutes on YouTube: https://lnkd.in/eNuk_dzu

Are you worried about the safety of AI? Fear not, our researchers are working on it. Actually, they’re paving the way. Thibault Simonetto recently won recognition for his groundbreaking PhD work that addressed one of AI's biggest challenges: How do we make sure AI isn’t just intelligent but also secure? This was the driving question behind a recent paper from SnT that earned the prestigious spotlight at the NeurIPS conference, one of the highest honors in the AI research community. But we’re not keeping our know-how locked behind academic doors. A partnership with BGL BNP Paribas actually helped bring this research to life, showcasing the practical, real-world impact of such groundbreaking research. Big congratulations to the authors, Maxime Cordy, Thibault Simonetto, and Salah GHAMIZI, for their hard work and dedication! Want to know more about how SnT is making AI safer and more reliable? Check out the full story below 📖👇 https://lnkd.in/eUvxbx_J

🤧 Presenting at conferences with COVID isn't exactly ideal, but being part of this year's #OASPA2024 annual conference on behalf of Eurodoc was still an incredibly rewarding experience. Thanks for having me, Open Access Scholarly Publishing Association, and Dr. Anke Beck for all the support! Here’s the newly released recording of the panel on 'Openness and Robust Scholarship in the Age of Generative AI,' complete with my hoarse voice and shared insights - https://lnkd.in/demzdHnW #OpenScience #OpenAccess #AI #GenerativeAI