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GeekWire
AI's transparency problem: Tech leaders advocate for new insights into training data
Mar 9, 2024
40:13
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Exploring the risks and challenges of AI, the Transparency Coalition aims to tackle data transparency issues in training AI models. Discussions cover ethical AI practices, legal challenges, and legislative efforts for AI transparency at the state level, emphasizing the need for policy adaptation in the rapidly evolving AI industry.
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Quick takeaways
- The lack of oversight on data used to train AI models poses a significant risk in AI technology development.
- The Transparency Coalition aims to shape legislation and policies to promote transparency and accountability in AI practices.
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Overview of AI Challenges and Risks
Artificial intelligence presents great potential for shaping the future, but it also introduces significant challenges and risks. Data collection practices are often sloppy, leading to exaggerated promises about AI capabilities. The core issue lies in the lack of regulation and oversight over the data AI uses for learning and decision-making.
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Discover
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