Masheika Allgood delineates good AI from GenAI, outlines the environmental imprint of hyperscale data centers, and emphasizes AI success depends on the why and data.

Masheika and Kimberly discuss her path from law to AI; AI as an embodied infrastructure; forms of beneficial AI; if the GenAI math maths; narratives underpinning AI; the physical imprint of hyperscale data centers; the fallacy of closed loop cooling; who pays for electrical capacity; enabling community dialogue; starting with why in AI product design; AI as a data infrastructure play; staying positive and finding the thing you can do.

Masheika Allgood is an AI Ethicist and Founder of AllAI Consulting. She is a well-known advocate for sustainable AI development and contributor to the IEEE P7100 Standard for Measurement of Environmental Impacts of Artificial Intelligence Systems.

Related Resources

• Taps Run Dry Initiative (Website)
• Data Center Advocacy Toolkit (Website)
• Eat Your Frog (Substack)
• AI Data Governance, Compliance, and Auditing for Developers (LinkedIn Learning)
• A Mind at Play: How Claude Shannon Invented the Information Age (Referenced Book)

A transcript of this episode is here.

Kati Walcott differentiates simulated will from genuine intent, data sharing from data surrender, and agents from agency in a quest to ensure digital sovereignty for all.

Kati and Kimberly discuss her journey from molecular genetics to AI engineering; the evolution of an intention economy built on simulated will; the provider ecosystem and monetization as a motive; capturing genuine intent; non-benign aspects of personalization; how a single bad data point can be a health hazard; the 3 styles of digital data; data sharing vs. data surrender; whether digital society represents reality; restoring authorship over our digital selves; pivoting from convenience to governance; why AI is only accountable when your will is enforced; and the urgent need to disrupt feudal economics in AI.

Kati Walcott is the Founder and Chief Technology Officer at Synovient. With over 120 international patents, Kati is a visionary tech inventor, author and leader focused on digital representation, rights and citizenship in the Digital Data Economy.

Related Resources

• The False Intention Economy: How AI Systems are Replacing Human Will with Modeled Behavior (LinkedIn Article)

A transcript of this episode is here.

Paula Helm articulates an AI vision that goes beyond base performance to include epistemic justice and cultural diversity by focusing on speakers and not language alone.

Paula and Kimberly discuss ethics as a science; language as a core element of culture; going beyond superficial diversity; epistemic justice and valuing other’s knowledge; the translation fallacy; indigenous languages as oral goods; centering speakers and communities; linguistic autonomy and economic participation; the Māori view on data ownership; the role of data subjects; enabling cultural understanding, self-determination and expression; the limits of synthetic data; ethical issues as power asymmetries; and reflecting on what AI mirrors back to us.

Paula Helm is an Assistant Professor of Empirical Ethics and Data Science at the University of Amsterdam. Her work sits at the intersection of STS, Media Studies and Ethics. In 2022 Paula was recognized as one of the 100 Most Brilliant Women in AI-Ethics.

Related Resources

• Generating Reality and Silencing Debate: Synthetic Data as Discursive Device (paper) https://journals.sagepub.com/doi/full/10.1177/20539517241249447
• Diversity and Language Technology (paper): https://link.springer.com/article/10.1007/s10676-023-09742-6

A transcript of this episode is here.