Roundtable: Women Leading the Charge Against AI Bias | Part 1

Apr 17, 2024

Guest

Heidi Lorenzen

Guest

Sarah Benson-Konforty

Join the roundtable discussion with industry leaders on addressing AI bias in technology. They tackle biases in funding, lack of diversity, and challenges in creating unbiased AI models. Explore how AI-generated content reflects societal biases and the potential for AI to improve communication while maintaining authenticity.

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Episode notes

Introduction

00:00 • 2min

Exploring Perspectives on Unbiased AI Development

02:20 • 2min

Unveiling Bias in AI Applications

04:48 • 18min

Empowering Individuals with AI to Challenge Corporate Entities and Address Bias

22:33 • 1min

Exploring AI Applications in Gaming Talent and Health Insurance

24:01 • 3min

Summary

This episode is a behind-the-scenes look at a roundtable discussion on AI and bias hosted by Women And AI during GDC 2024.

Join your hosts and roundtable guests:

Heidi Lorenzen, Executive Producer, Director The Humanity Code
Hillary Lehr, CEO at Quiller
Chetna Mahajan, Chief Digital & Information Officer, Amplitude
Sarah Benson-Konforty, MD General Partner, 1010VC
Jennie Sue, Jennie Sue, Games Publishing Advisor
Eve Herrera, Head of Marketing & Sales, Appvertiser
Cindy Lin, Senior Director, Data Sciences, Bundles
Cheryll Del Rosario Director, Creative Marketing, Pocket Gems
Kristine Young, Director of Marketing and PR, PlayStation

The roundtable discuss the importance of addressing AI bias and creating an environment that fosters unbiased technology. They also explore the biases present in funding for AI projects and the lack of diversity in the AI industry. The conversation explores the biases in AI-generated content and the challenges of creating diverse and inclusive representations.

Takeaways

Addressing AI bias requires creating an environment that fosters unbiased technology.
There is a lack of diversity in the AI industry, both in terms of funding and representation.
AI-generated content often exhibits biases, such as gender and racial stereotypes.
Balancing data sets and algorithmic bias is crucial for developing unbiased AI models.
AI has the potential to improve communication and understanding, but it is important to maintain authenticity and avoid biases in language and persona-based AI.

Timestamps

00:00 Acknowledgements
04:39 Setting the Stage
07:52 AI Bias from the Perspective of AI Experts
09:56 Bias in AI Optimization for Short-Term Gains
10:48 Gender Bias in AI Funding
12:27 Bias in SaaS and Market Data Analysis
14:57 Bias in Content Generation16:05Bias in Generative AI
18:12 Addressing Bias in Generative AI
19:30 Balancing Bias in AI Solutions
20:53 Personal AI and Language Translation
23:27 AI's Positive Impact on Communication
24:29 Advancements in Generative AI
25:21 Bias in AI Influencers and Persona-Based Bias
26:41 The Power of GPT and AI in Everyday Tasks
27:35 AI Empowering Individuals in Corporate Battles
28:27 AI in Matchmaking and Hiring Processes
29:36 AI Simplifying Insurance and Bureaucracy
31:29 Using Prompts to Reduce Bias in AI