Episode Summary

The conversation revolves around the panelists introducing themselves, discussing their career journeys in AI, and sharing their thoughts on the current state and future of AI.

They touch on topics such as the differentiation between hype and real AI, the challenges and concerns of AI proliferation, and the importance of ethics and transparency in AI development. The conversation explores the challenges and opportunities of AI in relation to data, bias, and gender representation. It emphasizes the importance of understanding and addressing biases in AI systems and the need for diverse and inclusive data sets.

The speakers discuss the potential of AI in healthcare, including drug discovery and improving access to care. They also highlight the need for more women in leadership roles in AI and VC funding. The conversation concludes with a call to action for increased participation, learning, and voicing perspectives in the AI field.

Takeaways

The panelists have diverse backgrounds and experiences in AI, ranging from computer science to medicine to business.
AI adoption has been increasing globally, but it's important to differentiate between hype and real AI solutions.
The pace of AI development raises concerns about security, configuration, and the need for infrastructure and policy adjustments.
Transparency and ethics are crucial in AI development to address biases, hallucinations, and ensure responsible use of AI.
Data quality and volume are key factors in AI success, and biases in data need to be identified and addressed.
AI has the potential to revolutionize various industries and improve human lives, but it requires careful consideration and human-centered design. AI systems are trained with noisy data, and it is important to understand and address biases in these systems.
Diverse and inclusive data sets are crucial for developing unbiased AI systems.
AI has the potential to revolutionize healthcare by improving drug discovery and increasing access to care.
There is a need for more women in leadership roles in AI and VC funding.
Increased participation, learning, and voicing perspectives are essential for progress in the AI field.

Chapters

00:00 Introductions and Backgrounds
06:41 Career Journeys and Inspiration
16:15 AI Adoption and Differentiating Hype
29:41 The Role of Humans in AI Development
32:15 Data Quality and Volume in AI
33:44 AI for Good and Addressing Diverse Populations
34:48 Continued Conversations and Collaboration
35:42 Addressing Bias and Diversity in AI Development
37:39 The Importance of Women in AI Leadership
38:35 Groundbreaking Opportunities for Women in AI
41:35 The Lack of Venture Funding for Women-Founded Startups
51:24 Evaluating AI Models and Metrics
57:11 Call to Action: Putting More Women in AI Leadership Roles

Resources

Meet Our Guests

Moderator: ⁠Pallavi Sharma⁠, Founder⁠ witOmni AI Marketing ⁠

Panelists:

⁠Dr. Sarah Benson-Konforty⁠,General Partner at ⁠1010VC⁠, Board member of ⁠The Alliance for Artificial Intelligence in Healthcare⁠
⁠Chetna Mahajan⁠, Chief Digital & Information Officer at ⁠Amplitude⁠
⁠Kim Carson⁠,CEO and Founder at⁠ Parallax Futures ⁠
⁠Janet George,⁠ Chief AI Digital Officer, ⁠Intel⁠

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