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Smart Talks with IBM: Scaling AI With Purpose
Oct 8, 2024
Rebecca Finlay, CEO of Partnership on AI, discusses the vital role of ethics and transparency in AI advancement. She emphasizes the importance of diverse perspectives in tackling AI challenges. The conversation dives into the balance between open and closed AI models, exploring risks and benefits. Finlay argues that clear regulations can drive innovation responsibly, using examples from the automotive sector. She also highlights the need for open-minded discussions to promote collaboration and ethical practices in AI development.
35:45
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Quick takeaways
- The podcast emphasizes that advancing AI innovation requires a collaborative ecosystem built on openness, ethics, and diverse stakeholder engagement.
- Rebecca Finlay highlights the critical role of risk management and accountability in ensuring responsible AI practices and transparent methodologies.
Deep dives
The Concept of Openness in AI
Openness in artificial intelligence (AI) encompasses more than just access to open source code or data; it fosters a collaborative ecosystem that values diverse perspectives and increases transparency. This approach is believed to reshape industries by promoting innovation and ensuring that the technology serves a broad range of stakeholders. The discussion emphasizes the importance of defining what 'open' means, as it relates to community engagement and the accountable governance of AI. By integrating varied input from domain experts and civil society, the open model endeavors to address the complex challenges posed by AI.
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