Vivian Ming
Showing 1–3 of 3 transcripts.
- Milken Institute1h 20m
Part 1: A Conversation with US Department of Labor Secretary Eugene Scalia | Part 2: The Future of W
Eugene Scalia, Jane Oates, Milo Ortiz-Oakley, Vivian Ming, Steve Isak, Sarita Gupta
A U.S. administration official outlines a post-pandemic economic strategy centered on revitalizing growth through apprenticeship expansion, tax incentives, and the reclassification of broadband as critical infrastructure. Concurrently, experts from the aerospace, education, and philanthropy sectors highlight persistent challenges regarding workforce equity, racial bias in technology, and the urgent need to shift higher education toward inclusive, competency-based models. These coordinated efforts aim to address structural labor market shifts while ensuring that underrepresented groups benefit from renewed economic opportunities.
- Milken Institute56 min
Artificial Intelligence Advances, and the Ethical Choices Ahead
Henry Blodgett, Vivian Ming, Pedro Domingos, John Kelly, James Field, Wade
Industry leaders including Pedro Domingos, Vivian Ming, James Field, and John Kelly convened to examine the economic and ethical implications of artificial intelligence, highlighting a shift where routine intellectual tasks face higher automation risks than complex physical labor. The panelists debated the potential for labor market bifurcation and the "Midas problem" of poorly defined AI goals, while acknowledging that hybrid human-machine collaboration currently outperforms standalone systems in fields ranging from chess to medical diagnostics. Addressing future bioethics and consciousness, the group argued that decentralized market forces will likely drive genetic enhancement trends despite ethical concerns, emphasizing the need for transparency and embedded ethical mechanisms rather than universal legislative frameworks.
- Milken Institute1h 3m
The Future of Human Performance
Jared Carney, Jurgen Heitmann, Alison Levine, Vivienne Ming, Andy Walshe, Vivian Ming
A panel of experts including Andy Walsh, Vivian Ming, Allison Levine, and Juergen Heitmann defines human performance through a dual lens of elite achievement metrics and mass-democratized outcomes, integrating data-driven AI analysis with psychological safety to optimize both individual potential and team cohesion. The discussion identifies internal motivation, grit, and the transition to an "expert learner" mindset as critical drivers for sustained success, while warning against the ethical pitfalls of reducing humans to mere data points in an increasingly automated world. Ultimately, the group advocates for a fundamental shift in education toward experiential learning and compassionate leadership to foster a culture where 8 billion people can navigate complex, high-stakes environments with resilience and shared purpose.