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    ai thought leadership

    Explore " ai thought leadership" with insightful episodes like and "#20. On the Intersection of AI, Ethics, and Philosophy with Ravit Dotan" from podcasts like " and "Humans of AI"" and more!

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    #20. On the Intersection of AI, Ethics, and Philosophy with Ravit Dotan

    #20. On the Intersection of AI, Ethics, and Philosophy with Ravit Dotan

    In this episode of the Humans of AI Podcast, host Sheikh Shuvo sits down with Ravit Dotan, the Founder and CEO of TechBetter and a Responsible AI Advocate at Bria. Their conversation delves into the complex world of AI ethics, responsible AI development, and the intersection of technology with human values.


    Key Highlights:

    • Career Journey: Ravit shares her transition from a budding scientist to a philosopher, eventually focusing on AI ethics. She details her early career in tech, her undergraduate studies in physics and chemistry, and her philosophical exploration of reasoning in science.
    • Philosophy and AI: Ravit discusses how her interest in the role of values in scientific reasoning led her to question the so-called objectivity in machine learning. She emphasizes the importance of recognizing and managing social and political values in AI development.
    • Responsible AI in Practice: Exploring her work in responsible AI, Ravit offers insights into how companies can implement ethical AI practices. She stresses the importance of integrating these practices into business models and avoiding superficial commitments.
    • Power Dynamics in ML: Ravit touches on political aspects in machine learning, discussing biases in AI development and the influence of power dynamics.
    • Advice for AI Practitioners: Offering practical advice, Ravit encourages AI professionals to focus on real-world impacts of AI systems and to continuously educate themselves about the ethical implications of their work.

    Don't miss Ravit Dotan's insightful perspectives on the evolving landscape of AI and ethics, a must-listen for anyone interested in the responsible development of AI technology.


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