29 May 202447 min 54 sec

About the Session

In our latest Leading with Data episode, join us in an enlightening conversation with Ravit Dotan

Ravit is dedicated to making data technologies, especially AI, safe and beneficial for all. She specializes in AI responsibility, assisting companies, investors, and procurement teams with ethical AI practices. As the leader of AI ethics efforts at Bria.ai, a generative AI startup, Ravit also consults, writes, and speaks on various aspects of AI ethics. With a PhD in philosophy from UC Berkeley, she blends deep ethical understanding with practical insights to promote responsible AI development.

In this episode, Ravit shares her journey and delves into:

➡️ Her professional experiences and insights on Responsible AI
➡️ Why Responsible AI matters and when to prioritize it
➡️ Frameworks that new AI startups should follow
➡️ Helpful resources
➡️ A thrilling rapid-fire round

Tune in to this engaging podcast to gain valuable insights and stay updated on Responsible AI, tech trends, and innovations.

Useful links:
AI Responsibility: https://www.techbetter.ai/rightswise
Amazon case: https://www.reuters.com/article/idUSKCN1MK0AG/

About the Speaker

avtar

Ravit Dotan

Founder and CEO at TechBetter

Ravit is dedicated to making data technologies, especially AI, safe and beneficial for all. She specializes in AI responsibility, assisting companies, investors, and procurement teams with ethical AI practices. As the leader of AI ethics efforts at Bria.ai, a generative AI startup, Ravit also consults, writes, and speaks on various aspects of AI ethics. With a PhD in philosophy from UC Berkeley, she blends deep ethical understanding with practical insights to promote responsible AI development.

Keynotes/transcript

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

Arnav Garg (15:32 min)

Participate in discussion

Become a Speaker

Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event

  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution