Mission AI Workshop: Introduction to Artificial Intelligence Research

ven. 17 août à 00:00

Fuseau horaire : Paris (GMT+02:00)

Venue TBA
New York
New York

THIS IS A WORKSHOP. ONLY PEOPLE WHO REGISTER AT HERE WILL BE CONFIRMED ATTENDEES (space limited to 40 people): http://bit.ly/airesearchws ($45) About this Workshop (FULL INFO AT LINK ABOVE) This is the first event in our new Mission AI program -- learn more about it here: http://bit.ly/missionai By the year 2020, global spending on artificial intelligence research is estimated to reach $46 billion, with money pouring in from big tech companies, private investors, public institutions and governments. AI is set to change humanity and our world in unimaginable ways and AI research is the fuel catapulting us into to this next era of technological innovation. This workshop, taught by Dr. Seth Baum (Executive Director of The Global Catastrophic Risk Institute and an AI researcher specializing in AI safety and risk) will introduce you to the global AI research ecosystem (the researchers, the companies, the conflicts, the money funding it and and the research leading to new innovations). You will learn how to stay on top of the latest research without becoming overwhelmed, and how you can participate in AI research even if you aren't an academic or a technologist. And finally, you'll walk away with a diverse list of resources to stay on top of AI research and to further explore AI research that interests you the most (or that is most relevant to your professional goals). There will also be plenty of time for Q&A with Dr. Baum. Prerequisites & Preparation No prerequisites required. This workshop is for anyone who who wants to level-up their AI knowledge and gain a more nuanced understanding of how AI research is currently being produced, funded, and used to develop new technologies. It is especially ideal for product managers, developers and engineers, marketers, tech journalists, investors, entrepreneurs, students, and teachers. Takeaways This workshop will cover: 1. the different types of AI research - computer science vs. social science etc.

  1. how Google went from being a research paper to a product and startup (an example of research that literally changed our world)

  2. academic research on the social and policy dimensions of AI

  3. the research ecosystem that is specifically focused on long-term forms of AI

  4. research focused on building AI

  5. debates and controversies within AI communities, including the Google Project Maven incident

  6. who the major players are in building AI

  7. research communities in different countries

  8. money being invested

  9. how the media covers research

  10. the use and impact of data in research

  11. the AI Safety Research program (funded primarily by Elon Musk) to help researchers find safe uses for AI (Dr. Baum will also provide a brief overview of the research proposal he submitted to the program) INSTRUCTOR Dr. Seth Baum is Executive Director of the Global Catastrophic Risk Institute (GCRI) and a renowned researcher whose research focuses on risk and policy analysis of catastrophes that could destroy human civilization, such as global warming, nuclear war, and runaway artificial intelligence. He leads GCRI’s planning and management and contributes to GCRI’s research. He is also a Research Scientist at the Blue Marble Space Institute of Science and an Affiliate Researcher at the Columbia University Center for Research on Environmental Decisions. He holds a Ph.D. in Geography from Pennsylvania State University (2012), an M.S. in Electrical Engineering from Northeastern University (2006), and B.S. degrees in Optics and Applied Mathematics from the University of Rochester (2003). Dr. Baum received a Ph.D. in Geography from Pennsylvania State University and completed a post-doctoral fellowship with the Columbia University Center for Research on Environmental Decisions.

Source: https://www.meetup.com/fr-FR/emerging-martech/events/253278619/

Venue TBA
New York

Nous avons temporairement désactivé la possibilité de naviguer vers les tags.