Today, we're talking with Thomas Feeney, Associate Professor of Philosophy and Director of the Master of Arts and Artificial Intelligence Leadership at the University of St. Thomas. Thomas now leads this one-of-a-kind program, which blends technical understanding with the critical thinking, foresight, and communication needed for responsible AI leadership.

With more than a decade in academia and a foundation philosophy, he helps organizations and leaders assess AI strategic implications. Translate complex ideas into practical action. He holds a PhD from Yale University and an MA in philosophy from Notre Dame. Thank you, Thomas, for being on the program today!

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

• Applied AI
• AppliedAI Meetup
• Emerging Technologies North

Resources and Topics Mentioned in this Episode

How AI Is Reshaping the Talent Pipeline and Career Development – As AI transforms job roles and skills needs, leaders are rethinking how to build talent pipelines that prepare workers for the evolving world of work and help organizations compete. https://www.mckinsey.com/capabilities/people-and-organizational-performance/our-insights/building-a-talent-pipeline-for-the-ai-era

AI’s Critique of Higher Education and Learning Itself – A provocative analysis argues that generative AI is significantly disrupting traditional university learning, academic integrity, and the meaning of earning a degree. https://www.currentaffairs.org/news/ai-is-destroying-the-university-and-learning-itself

Partnerships Between People and AI in the Future of Work – Research highlights how AI agents, robots, and humans will collaborate in the workforce, reshaping job tasks, skills, and organizational structures. https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai

Generative AI’s Impact on American Workers and the Future of Jobs – Analysis from a leading think tank explores what generative AI means for labor markets, outlining both risks and opportunities for workers. https://www.brookings.edu/articles/generative-ai-the-american-worker-and-the-future-of-work/

Ethical Challenges and Academic Integrity in AI-Driven Education – An overview of how AI affects learning environments, including concerns about over-reliance, accuracy, and integrity in educational settings. https://en.wikipedia.org/wiki/Artificial_intelligence_in_education

Today we're talking with Ren Bin Lee Dixon. Renin comes to the podcast with a deep experience in public and artificial intelligence policy. She's experienced in the research and analysis of issues at the intersection of technology, socioeconomics, and politics, with an international and diverse professional background in academia, public and private sectors.

She's currently a research fellow at the Center for AI and Digital Policy, where she drafts AI policy statements and comments to local and global regulatory bodies with a focus on human rights, democratic values, and the rules of law. A graduate of the Humphrey School of Public Affairs, her master's thesis entitled AI Governance, A Comparative Analysis of China, the European Union, and the United States was awarded an excellence in global policy in 2022. She also previously has been a marketing and PR specialist with more than 15 years of professional experience in the private sector, including starting an online retail business. Thank you, Ren bin, for being on the podcast today.

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

• Applied AI
• AppliedAI Meetup
• Emerging Technologies North

Resources and Topics Mentioned in this Episode

The Challenge of Regulating AI in the US – Lawmakers are struggling to keep up with AI’s rapid evolution, resulting in gaps in oversight and accountability. https://www.congress.gov/crs-product/R48555

How Algorithms Incentivise Engagement – Social-media ranking algorithms optimise for clicks and shares, often amplifying polarising or sensational content. https://pmc.ncbi.nlm.nih.gov/articles/PMC11894805/

AI as a Foundational Technology – Artificial intelligence is moving beyond niche applications to become a core infrastructure across industries and business models. https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-next-innovation-revolution-powered-by-ai

The Information Integrity Challenge – The rapid spread of misinformation and disinformation is undermining trust in digital ecosystems and societal decision-making. https://www.oecd.org/content/dam/oecd/en/publications/reports/2024/03/facts-not-fakes-tackling-disinformation-strengthening-information-integrity_ff96d19f/d909ff7a-en.pdf

Can AI Help Regulate AI? – Researchers and policymakers are exploring whether AI-based tools can monitor, audit, and govern other AI systems to ensure fairness and safety. https://academic.oup.com/policyandsociety/article/44/1/85/7684910

Today, we're talking with Dr. Elizabeth M. Adams. Elizabeth is the Chief Engagement Officer at the Minnesota Responsible AI Institute and the CEO of EMA advisory services, where she curates knowledge-exchange initiatives with global leaders on the critical importance of responsible AI. She believes that responsible AI equals a better Minnesota to both preserve our state's natural resources and promote sustainable economic growth.

She's an author, TEDx speaker, and keynote speaker sharing her leadership of a responsible AI framework, which helps organizations sustain employee engagement. And I'm super excited for our listeners here to learn more about this framework and how they can apply it within their business and professional career.

If you are interested in learning about how AI is being applied across multiple industries, be sure to join us at a future AppliedAI Monthly meetup and help support us so we can make future Emerging Technologies North non-profit events!

• Emerging Technologies North
• AppliedAI Meetup

Resources and Topics Mentioned in this Episode

• Becoming Invisible in the Age of AI
  How individuals and communities risk being overlooked or "invisible" as AI systems make decisions that affect their lives.
  Learn more about algorithmic invisibility
• Discovering AI Bias and Building Ethics Principles
  The process of uncovering bias in AI and the importance of establishing ethical guidelines for development and deployment.
  Read about AI ethics and bias
• How Bias Creeps into AI Systems
  A discussion on the subtle ways bias can enter AI models, from data collection to algorithm design.
  Explore how bias enters AI
• The Urgency of Responsible AI Adoption
  Why organizations and society must prioritize responsible AI practices now, not later.
  Responsible AI: Why it matters now
• Linking Responsible AI to Natural Resources
  Drawing parallels between responsible AI stewardship and the management of natural resources.
  Responsible AI and sustainability
• Elizabeth's Journey into Responsible AI
  Dr. Elizabeth M. Adams shares her personal path and motivations for focusing on responsible AI.
  About Dr. Elizabeth M. Adams
• The Leadership of Responsible AI Framework
  An overview of frameworks and leadership principles guiding responsible AI implementation.
  Responsible AI leadership frameworks
• Community Engagement and Launching EMA Advisory
  The importance of community involvement in AI and the founding of EMA Advisory Services.
  EMA Advisory Services