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

In this episode, Jenny and Lana interview Anna Santosh, founder of kraft AI, about her work in AI and her advice for business leaders.

Anna discusses the importance of demystifying AI and making it accessible to all, as well as the challenges and best practices for AI adoption. She emphasizes the need for strategic planning, governance, and upskilling when implementing AI in organizations.

Anna also shares her AI origin story and highlights the potential and risks of AI in the future. She encourages women to get involved in AI and bring diverse perspectives to shape the technology.
Resources

Meet Our Guest

• Ana Santhosh, Founder, kraft AI

• kraft AI

AI Tools + Sources

• Claude

• Perplexity

• ChatGPT - some of the previously paid features at the time of recording are now free

• Genie by Gather

• XKCD on Is it Worth the Time

• XKCD on Automation

Who to Follow

• Allie K Miller

Connect with Women And AI

• Women And AI LinkedIn

• Women And AI Website

• Nominate a guest for our show

Takeaways

1. Demystifying AI and making it accessible is crucial for driving innovation and impact.

2. AI adoption requires strategic planning, governance, and upskilling.

3. Leaders should focus on solving customer problems rather than just building AI products.

4. Guardrails and policies are necessary to address the risks and security issues of AI.

5. Women's voices and diverse perspectives are essential for shaping the future of AI.

Chapters

• 02:12 Demystifying AI and Making it Accessible

• 06:19 Challenges and Best Practices for AI Adoption

• 13:52 Choosing the Right LLM Model

• 22:54 Understanding Neural Networks

• 25:41 Using AI in Work and Personal Life

• 27:49 Getting Started with AI

• 30:40 Addressing AI Risks and Security

• 34:57 The Potential and Risks of AI

In this episode, Honey Yadav discusses the value of AI in business, the importance of customer data privacy and security, and the challenges and opportunities for women in AI. She emphasizes the need for a structured strategic approach to AI technology and the gap between industry use cases and AI solution deployment.

Honey highlights the measures taken by businesses to ensure data privacy and security, such as federated learning architectures and compliance management software. She discusses the risks and opportunities of responsible AI and the future of AI in various industries. Honey recommends articles and leaders to follow in the

Takeaways

1. AI technology requires a structured strategic approach for business use cases
2. Businesses are taking measures to ensure customer data privacy and security
3. Responsible AI has risks and opportunities that need to be considered
4. AI has the potential to transform various industries

Resources:

Meet Our Guest:

• LinkedIn Page: Honey Yadav

• Honey’s Website

Who to Follow:

• Leslie K. John author of an article: Uninformed Consent

• Toju Duke author of the book Building Responsible AI Algorithms

• Ozge Demirci author of article: Can Gender-Blind Algorithmic Pricing Eliminate the Gender Gap?

Connect with Women And AI

• Women And AI LinkedIn

• Women And AI Website

• Nominate a guest for our show

Chapters

• 00:00 Introduction and Background of Hani Yadav
• 01:58 Identifying the Business Value of AI
• 04:57 The Importance of Privacy and Security in the Digital World
• 07:50 Addressing the Gender Gap in AI
• 10:44 The Risks and Opportunities of Responsible AI
  13:36 The Future of AI in Various Industries