Pondering AI

Professor Rose Luckin provides an engaging tutorial on the opportunities, risks, and challenges of AI in education and why AI raises the bar for human learning.      Acknowledging AI’s real and present risks, Rose is optimistic about the power of AI to transform education and meet the needs of diverse student populations. From adaptive learning platforms to assistive tools, Rose highlights opportunities for AI to make us smarter, supercharge learner-educator engagement and level the educational playing field. Along the way, she confronts overconfidence in AI, the temptation to offload challenging cognitive workloads and the risk of constraining a learner’s choices prematurely. Rose also adroitly addresses conflicting visions of human quantification as the holy grail and the seeds of our demise. She asserts that AI ups the ante on education: how else can we deploy AI wisely? Rising to the challenge requires the hard work of tailoring strategies for specific learning communities and broad education about AI itself. Rose Luckin is a Professor of Learner Centered Design at the UCL Knowledge Lab and Founder of EDUCATE Ventures Research Ltd., a London hub for educational technology start-ups, researchers and educators involved in evidence-based educational technology and leveraging data and AI for educational benefit. Explore Rose’s 2018 book Machine Learning and Human Intelligence (free after creating account) and the EDUCATE Ventures newsletter The Skinny. A transcript of this episode is here. 

Katrina Ingram addresses AI power dynamics, regulatory floors and ethical ceilings, inevitability narratives, self-limiting predictions, and public AI education.   Katrina traces her career from communications to her current pursuits in applied AI ethics. Showcasing her way with words, Katrina dissects popular AI narratives. While contemplating AI FOMO, she cautions against an engineering mentality and champions the power to say ‘no.’ Katrina contrasts buying groceries with AI solutions and describes regulations as the floor and ethics as the ceiling for responsible AI. Katrina then considers the sublimation of AI ethics into AI safety and risk management, whether Sci-Fi has led us astray and who decides what. We also discuss the law of diminishing returns, the inevitability narrative around AI, and how predictions based on the past can narrow future possibilities. Katrina commiserates with consumers but cautions against throwing privacy to the wind. Finally, she highlights the gap in funding for public education and literacy.  Katrina Ingram is the Founder & CEO Ethically Aligned AI, a Canadian consultancy enabling organizations to practically apply ethics in their AI pursuits. A transcript of this episode is here. 

Paulo Carvão discusses AI’s impact on the public interest, emerging regulatory schemes, progress over perfection, and education as the lynchpin for ethical tech.           In this thoughtful discussion, Paulo outlines the cultural, ideological and business factors underpinning the current data economy. An economy in which the manipulation of personal data into private corporate assets is foundational. Opting for optimism over cynicism, Paul advocates for a first principles approach to ethical development of AI and emerging tech. He argues that regulation creates a positive tension that enables innovation. Paulo examines the emerging regulatory regimes of the EU, the US and China. Preferencing progress over perfection, he describes why regulating technology for technology’s sake is fraught. Acknowledging the challenge facing existing school systems, Paulo articulates the foundational elements required of a ‘bilingual’ education to enable future generations to “do the right things.”  Paulo Carvão is a Senior Fellow at the Harvard Advanced Leadership Initiative, a global tech executive and investor. Follow his writings and subscribe to his newsletter on the Tech and Democracy substack.  A transcript of this episode is here. 

Dr. Christina Jayne Colclough reflects on AI Regulations at Work.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.

Giselle Mota reflects on Inclusion at Work in the age of AI.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.

Ganes Kesari reflects on generative AI (GAI) in the Enterprise.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.

Chris McClean reflects on Digital Ethics and Regulation in AI today.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.

Dr. Erica Thompson, author of 'Escape from Model Land', discusses the flaws and biases in large language models like GPT and the importance of educating the public about their limitations. She emphasizes responsible usage of AI models, interdisciplinary collaborations, and societal implications for decision making in the future.

Roger Spitz reflects on Upskilling Human Decision Making in the age of AI.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next.To learn more, check out Roger’s book series The Definitive Guide to Thriving on Disruption

Sheryl Cababa reflects on Systems Thinking in AI design.In this capsule series, prior guests share their insights on current happenings in AI and intuitions about what to expect next. To learn more, check out Sheryl’s book Closing the Loop: Systems Thinking for Designers