Artificial Intelligence and You

Artificial General Intelligence - AGI - an AI system that’s as intelligent as an average human being in all the ways that human beings are usually intelligent. Helping us understand what it means and how we might get there is Craig A. Kaplan, founder of iQ Company, where he invents advanced intelligence systems.
He also founded and ran PredictWallStreet, a financial services firm whose clients included NASDAQ, TD Ameritrade, Schwab, and other well-known financial institutions. In 2018, PredictWallStreet harnessed the collective intelligence of millions of retail investors to power a top 10 hedge fund performance, and we talk about it in this episode.

Craig is a visiting professor in computer science at the University of California, and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon.

In the conclusion of the interview, we talk about the details of the collective intelligence architecture of agents, why Craig says it’s safe, morality of superintelligence, the risks of bad actors, and leading indicators of AGI. 

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

Artificial General Intelligence - AGI - an AI system that’s as intelligent as an average human being in all the ways that human beings are usually intelligent. Helping us understand what it means and how we might get there is Craig A. Kaplan, founder of iQ Company, where he invents advanced intelligence systems.
He also founded and ran PredictWallStreet, a financial services firm whose clients included NASDAQ, TD Ameritrade, Schwab, and other well-known financial institutions. In 2018, PredictWallStreet harnessed the collective intelligence of millions of retail investors to power a top 10 hedge fund performance, and we talk about it in this episode.

Craig is a visiting professor in computer science at the University of California, and earned master’s and doctoral degrees from famed robotics hub Carnegie Mellon University, where he co-authored research with the Nobel-Prize-winning economist and AI pioneer Dr. Herbert A. Simon.

We talk about his work with Herb Simon, bounded rationality, connectionist vs symbolic architectures, jailbreaking large language models, collective intelligence architectures for AI, and a lot more!

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

We are talking about international governance of AI again today, a field that is just growing and growing as governments across the globe grapple with the seemingly intractable idea of regulating something they don’t understand. Helping them understand that is Markus Anderljung, Director of Policy and Research at the Centre for the Governance of AI in the UK. He aims to produce rigorous recommendations for governments and AI companies, researching frontier AI regulation, responsible cutting-edge development, national security implications of AI, and compute governance. He is an Adjunct Fellow at the Center for a New American Security, and a member of the OECD AI Policy Observatory’s Expert Group on AI Futures. He was previously seconded to the UK Cabinet Office as a Senior Policy Specialist.

I know “governance” sounds really dry and a million miles away from the drama of existential threats, and jobs going away, and loss of privacy on a global scale; but governance is exactly the mechanism by which we can hope to do something about all of those things. Whenever you say, or you hear someone say, “Someone ought to do something about that,” governance is what answers that call.

In the conclusion, we talk about verification processes, ingenious schemes to verify hardware platforms, the frontier AI safety commitments, and who should set safety standards for the industry.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

We are talking about international governance of AI again today, a field that is just growing and growing as governments across the globe grapple with the seemingly intractable idea of regulating something they don’t understand. Helping them understand that is Markus Anderljung, Director of Policy and Research at the Centre for the Governance of AI in the UK. He aims to produce rigorous recommendations for governments and AI companies, researching frontier AI regulation, responsible cutting-edge development, national security implications of AI, and compute governance. He is an Adjunct Fellow at the Center for a New American Security, and a member of the OECD AI Policy Observatory’s Expert Group on AI Futures. He was previously seconded to the UK Cabinet Office as a Senior Policy Specialist.

I know “governance” sounds really dry and a million miles away from the drama of existential threats, and jobs going away, and loss of privacy on a global scale; but governance is exactly the mechanism by which we can hope to do something about all of those things. Whenever you say, or you hear someone say, “Someone ought to do something about that,” governance is what answers that call.

We talk about just what the Centre is, what it does and how it does it, and definitions of artificial general intelligence insofar as they affect governance – just what is the difference between training a system with 10²⁵ and 10²⁶ flops, for instance? And also in this part Markus will talk about how monitoring and verification might specifically work.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

Virtually everything that’s difficult about getting computers to do work for us is in getting them to understand our question or request and in our understanding their answer. How we interact with them is the problem.

And that's where Sophie Kleber comes in. She is the UX – that’s User Experience – Director for the Future of Work at Google and an expert in ethical AI and future human-machine interaction. She deeply understands the emotional development of automated assistants, artificial intelligence, and physical spaces. Sophie develops technology that enables individuals to be their best selves. Before joining Google, Sophie held the Global Executive Creative Director role at Huge, collaborating with brands like IKEA and Thomson Reuters. She holds an MA in Communication Design and an MBA in Product Design, and is a Fulbright fellow. 

In the conclusion of our interview, we talk about about how she got into the user experience field, the emergence of a third paradigm of user interfaces, the future of smart homes, privacy, large language models coming to consumer devices, and brain-computer interfaces.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

Virtually everything that’s difficult about getting computers to do work for us is in getting them to understand our question or request and in our understanding their answer. How we interact with them is the problem.

And that's where Sophie Kleber comes in. She is the UX – that’s User Experience – Director for the Future of Work at Google and an expert in ethical AI and future human-machine interaction. She deeply understands the emotional development of automated assistants, artificial intelligence, and physical spaces. Sophie develops technology that enables individuals to be their best selves. Before joining Google, Sophie held the Global Executive Creative Director role at Huge, collaborating with brands like IKEA and Thomson Reuters. She holds an MA in Communication Design and an MBA in Product Design, and is a Fulbright fellow. 

We talk about the Uncanny Valley and how we relate to computers as though they were human or inhuman, and what if they looked like Bugs Bunny. We talk about the environments and situations where some people have intimate relationships with AIs, gender stereotyping in large language models, and where emotional interactions with computers help or hinder.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

Teachers all over the world right now are having similar thoughts: Is AI going to take my job? How do I deal with homework that might have been done by ChatGPT? I know, because I've talked with many teachers, and these are universal concerns.

So I'm visiting the topic of AI in education - not for the first time, not for the last. There are important and urgent issues to tackle; they become most acute at the high school level, but this episode will be useful for all levels.

The reason it's so important for me to work with schools so much as an AI change management consultant is that there's no need for teachers to fear for their jobs. They are doing the most important job on the planet right now because they are literally educating the generation that is going to save the world. And generative AI has not created a learning problem: it's created learning opportunities. It's not created a teaching problem; it's created teaching opportunities. It has, however, created an assessment problem, and I'll talk about that.

Kids need their human teachers more than ever before to model for them how to deal with disruption from technology, because change will never again happen as slowly as it does today, and all of their careers will be disrupted far more than anyone's is today. No student is going to remember something ChatGPT said for the rest of their life. The teacher’s job is to focus on the qualities that the AI cannot embody—the personal interactions that occur face to face when the teacher makes that lasting impression that inspires the student.

Let's have honest, deep, and productive conversations about these issues now. A new school year is approaching and this is the time.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.

Is work heading for utopia? My guest today is John Danaher, senior lecturer in law at the University of Galway and author of the 2019 book, Automation and Utopia: Human Flourishing in a World without Work, which is an amazingly broad discourse on the future of work ranging from today’s immediate issues to the different kinds of utopia – or dystopia, depending on your viewpoint – ultimately possible when automation becomes capable of replicating everything that humans do. 

John has published over 40 papers on topics including the risks of advanced AI, the meaning of life in the future of work, the ethics of human enhancement, the intersection of law and neuroscience, the utility of brain-based lie detection, and the philosophy of religion. He is co-editor of Robot Sex: Social And Ethical Implications from MIT Press, and his work has appeared in The Guardian, Aeon, and The Philosopher’s Magazine.

In the conclusion of the interview we talk about generative AI extending our minds, the Luddite Fallacy and why this time things will be different, the effects of automation on class structure, and… Taylor Swift.

All this plus our usual look at today's AI headlines.

Transcript and URLs referenced at HumanCusp Blog.