Russell Wald | Expanding Academia's Role in Public Sector AI
This seminar will discuss how governments must boost investment in public sector AI research and propose policies to balance industry dominance with significant academic contributions.
Expanding Academia's Role in Public Sector AI
AI has captured public attention and become a focal point for policymakers. Concerns about AI have evolved from niche academic discussions to widespread public discourse, influencing legislative actions worldwide. Currently, the focus is mainly on industry-driven AI products, sidelining the broader AI ecosystem and societal impacts. This industry-centric approach marginalizes academia and civil society, potentially skewing AI governance toward industry interests rather than public good. To address this, diverse stakeholder involvement is essential in AI development. Robust academic research is crucial for human-centered AI, driving scientific curiosity, training future AI leaders, and providing policymakers with an objective understanding of AI. This seminar will discuss how governments must boost investment in public sector AI research and propose policies to balance industry dominance with significant academic contributions.
If you need a disability-related accommodation, please contact: Annie Benisch, Events Planner. Requests should be made at least a week before the event.
Related Events
Info Session: Rising Stars in Data Science Workshop
This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
This session is specifically designed for full-time graduate students within one year of obtaining their PhD, as well as current postdoctoral scholars, fellows, and researchers.
Empirical Methods in the Age of AI Conference
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Save the Date. Artificial intelligence is transforming how researchers collect, analyze, and learn from data. As AI systems become increasingly integrated into scientific discovery, business decision-making, and policy analysis, they are reshaping both the questions researchers can ask and the methods they use to answer them.
Confronting Our AI Future: Hope, Fear, and the Choices Ahead
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.
The rapid acceleration of AI comes with a profound wave of anxiety. Across every sector of society, people are facing unsettling questions about their worth and their place in a shifting world.