In this episode of the Product Experience Podcast, we speak with Kasia Chmielinski, co-founder of The Data Nutrition Project, who discusses their work on responsible AI, data quality, and the Data Nutrition Project. Kasia highlights the importance of balancing innovation with ethical considerations in product management, the challenges of working within large organizations like the UN, and the need for transparency in data usage.
Key takeaways
- Working with the UN involves navigating complex data quality issues.
- Product management often prioritizes speed over responsibility, leading to ethical dilemmas.
- Balancing innovation and responsibility is crucial for product managers.
- Refusing to build harmful products is a valid option for product managers.
- Building better products involves addressing gaps and improving processes.
- AI should be viewed as a process that requires ongoing evaluation.
- Vendor relationships must be managed carefully to ensure responsible AI use.
- The Data Nutrition Project aims to provide transparency in data sets.
- Technology must be designed to work for everyone, including marginalized users.
Chapters
01:50 Working with the UN and Data Quality
04:45 The Dilemma of Responsible AI
07:05 Balancing Innovation and Responsibility in Product Management
10:24 Refusing to Build: A Product Manager's Dilemma
13:42 Building Better Products
16:06 Evaluating AI Systems Responsibly
19:23 Navigating Vendor Relationships and Outsourcing
22:37 Creating New Solutions: The Data Nutrition Project
Featured Links: Follow Kasia on LinkedIn | The Data Nutrition Project | 'What we learned at Pendomonium and #mtpcon 2024 Raleigh: Day 2' feature by Louron Pratt
