Last Week in AI On Shaping the Global Terrain of AI Competition with Tim Hwang
Jun 25, 2020
Tim Hwang, a Research Fellow at Georgetown’s CSET and former director at Harvard-MIT, dives into the fierce AI rivalry between the U.S. and China, highlighting its geopolitical stakes. He discusses how democracies can develop AI responsibly, balancing ethical values with innovation. Hwang also tackles pressing issues like the implications of facial recognition technology, the risks of deepfakes in misinformation, and the need for transparency in AI systems. His insights reveal the intricate interplay between technology, ethics, and global policy.
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Democracies' AI Challenge
- Democracies face a challenge in AI development: competing with authoritarian regimes without sacrificing values like privacy.
- This challenge arises from the perception that authoritarian regimes have easier access to data, potentially giving them an edge in AI.
Shaping the AI Terrain
- Shape the "terrain" of AI competition by prioritizing research areas that benefit democracies.
- Focus on areas like data reduction techniques, democratic values, and challenging social control uses of AI.
Reduce Data Dependence
- Invest in AI research that reduces dependence on large datasets, like one-shot learning and simulation learning.
- This approach counters the advantage authoritarian regimes might have with easier access to data.