In this episode Ally and Peter is joined by the multi-faceted Kasia Chmielinski, a trisectoral professional with significant roles in industry, academia, non-profits, and government. Kasia’s career includes impactful positions at notable organizations such as Google, United Nations, McKinsey, and the United States Digital Service, alongside their co-founding role at the Data Nutrition Project.
Kasia shares insights on developing AI tools during Trump's presidency, emphasizing the importance of transparency in data sets used to train AI models. We dive deeper into the Data Nutrition Project, an initiative they co-founded to provide a "nutrition label" for data sets. A project that aims to improve the transparency of data used in AI systems by providing clear, accessible insights into the contents and quality of data, similar to nutritional information on food packaging. This approach helps developers and stakeholders make informed decisions about the data they use, promoting more ethical and unbiased AI applications.
Kasia also discusses the critical intersectionality in AI development, drawing from personal experiences growing up in a multilingual family. That illustrates how these diverse perspectives have shaped Kasia's views on technology’s role in society and stresses the necessity of incorporating these views to foster ethical AI development.
Join us as we dive into a conversation that challenges dominant narratives about AI, exploring how ethical considerations and transparency are pivotal in the evolution of AI technologies. This episode is a must-listen for anyone interested in the future of AI governance and its societal impact.
Tune in to gain a broader understanding of AI beyond the hype, through the lens of a leader striving for a more inclusive and responsible technological future.
Links:
Kasia on LinkedIn
Berkman Kleine Center - Kasia
The World We Are Building
If you want to get in touch with us, feel free to reach out to Allison Cohen and/or Peter Kurzwelly on LinkedIn, or both of us on Twitter/X.