This conversation explores the multifaceted world of data and AI, focusing on the importance of data analysis, ownership, and ethical considerations.

Special Guests:

1. Annie Xu - Works at Google Cloud, focusing on customers building LLM foundation models
2. Kasia Rachuta - Works at Block, within the identity verification space at Square
3. Rachel Mak-McCully - Works at Unlearn, a startup in health AI

Hosts: Reut Lazo & Jenny Kay Pollock Cofounder & Co-CEOs WxAI

The speakers discuss their journeys into tech, the challenges of data collection, especially in healthcare, and the biases present in AI models. They emphasize the need for collaboration across various data roles and the significance of human feedback in AI development. The conversation also highlights the role of women in tech and the importance of community support in navigating these challenges.

Takeaways

• Data analysis is crucial for making informed decisions.
• Collaboration among data roles enhances the effectiveness of data usage.
• Healthcare data collection faces unique challenges due to fragmentation.
• Bias in AI models can stem from skewed training data.
• Human feedback is essential in refining AI models.
• Ethical considerations in data collection are increasingly important.
• Women are underrepresented in technical data roles.
• Community support can foster connections and opportunities in tech.
• Diversity in data committees can help address biases.
• Understanding data ownership is vital for ethical practices.

• Navigating the Data Landscape: Insights from Women in Tech
• The Power of Data: Ownership, Ethics, and

Resources

Weapons of Math Destruction - A book referenced by Rachel Mak-McCully.

Perplexity - An AI tool mentioned by Rachel Mak-McCully.

Notebook LLM - An AI tool mentioned by Annie Xu.

Goose - An AI tool mentioned by Kasia Rachuta.

Kaggle GenAI Challenge - Recommended by Kasia Rachuta for learning about GenAI.

Tiny Experiments by Anne-Laure Lecomf - A book recommended by Rachel Mak-McCully.

Maybe Happy Ending - A Broadway show recommended by Annie Xu.

Butter by Azako Yuzuki - A book recommended by Kasia Rachuta.

For more from our community check out www.womenxai.com

Chapters

00:00 Introduction to AI and Data

03:08 The Importance of Data in AI

05:30 Personal Journeys in Data and AI

08:29 The Role of Data in Decision Making

11:24 Ownership and Responsibility in Data

13:55 Bias and Representation in Data

16:41 Human Involvement in Data Processes

19:33 Privacy vs. Progress in Data Collection

22:05 Regulations and Their Impact on Data Practices

25:58 The Impact of Proxies in AI and Regulation

26:56 Legislation and Trust in Technology

28:42 Women in Technology: Visibility and Representation

31:41 Data Quality and Iterative Processes

34:22 AI Tools: Community Recs

36:32 Learning Resources for AI Enthusiasts

38:52 Lightning Round

42:15 Community Support

43:44 Community and Collaboration in AI Learning