Responsible AI and the need for AI safety standards
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Responsible AI and the need for AI safety standards
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A key truth about AI is that regulation has long lagged innovation. However, this has not removed the responsibility of enterprises to deploy AI systems responsibly or for AI vendors to create responsible systems. What are the key metrics to understanding a safe AI system?
Featuring: Stuart Battersby, CTO at Chatterbox Labs, vendor of a quantitative AI risk metrics platform, and Danny Coleman, CEO at Chatterbox.
In today’s episode, we cover:
- The difference between AI safety and responsible AI
- The need for standards in AI safety
- The future of AI safety in Enterprises
and more.
To learn more about responsible AI, check out SearchEnterprise AI.
To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.
References:
- Assessing if DeepSeek is safe to use in the enterprise
- EU, U.S. at odds on AI safety regulations
- Responsible AI vs. ethical AI: What's the difference?
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