Artificial Intelligence and You

What does the ideal integration of humans and technology look like in business in the future? Nada Sanders calls that a “Humachine.” She is a thought leader and expert in forecasting and human-technology integration, has an MBA and a PhD in supply chain management, and is an expert in digital transformation. She is author of seven books, including The Humachine: Humankind, Machines, and the Future of Enterprise, and is a Fellow of the Decision Sciences Institute. In 2022 she was awarded the prestigious Robert D. Klein Lecturer Award by Northeastern University.

In part 2, we talk about intentionality, integration, implementation, and indication, what to digitize in digital transformation, KPIs and other indicators of success in an AI-first business, and how culture needs to shift in the enterprise.

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

Transcript and URLs referenced at HumanCusp Blog.

What does the ideal integration of humans and technology look like in business in the future? Nada Sanders calls that a “Humachine.” She is a thought leader and expert in forecasting and human-technology integration, has an MBA and a PhD in supply chain management, and is an expert in digital transformation. She is author of seven books, including The Humachine: Humankind, Machines, and the Future of Enterprise, and is a Fellow of the Decision Sciences Institute. In 2022 she was awarded the prestigious Robert D. Klein Lecturer Award by Northeastern University.

In part 1, Nada defines the Humachine, and we talk about the ideal relationship between humans and AI, Kasparov’s Law, what skills have atrophied in the younger workforce, how software jobs are changing, and where to set the boundary between AI assistants and human assistants.

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

Transcript and URLs referenced at HumanCusp Blog.

I am talking with Drs. Emily Bender and Alex Hanna, authors of the upcoming book, The AI Con: How to Fight Big Tech's Hype and Create the Future We Want, and also co-hosts of the live podcast Mystery AI Hype Theater 3000.

Emily is well known for coining the term “stochastic parrots” in a 2021 paper as a label for generative AI. She is a linguistics professor and director of the Computational Linguistics Laboratory at the University of Washington and was among the inaugural Time AI 100. Alex is a sociologist who looks at how the data that fuels AI technologies exacerbates racial, gender, and class inequality. She is Director of Research at the Distributed AI Research Institute and a Senior Fellow at the Center for Applied Transgender Studies.

In part 2, we talk about the dangers of uncritical naming, anthropomorphizing, Luddites and bespoke crafting, the effects of synthetic content on interpersonal communications, capitalism, and collective action strategies. 

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

Transcript and URLs referenced at HumanCusp Blog.

When people take a unipolar position that AI is going to be wonderful, or terrible, or inconsequential, they end up painting themselves into a corner where that’s the only story they can allow themselves to express, and that obscures the truth. So for us to do our due diligence in exploring the dimensions of AI, today I am talking with Drs. Emily Bender and Alex Hanna, authors of the upcoming book, The AI Con: How to Fight Big Tech's Hype and Create the Future We Want, and also co-hosts of the live podcast Mystery AI Hype Theater 3000.

Emily is well known for coining the term “stochastic parrots” in a 2021 paper as a label for generative AI. She is a linguistics professor and director of the Computational Linguistics Laboratory at the University of Washington and was among the inaugural Time AI 100. Alex is a sociologist who looks at how the data that fuels AI technologies exacerbates racial, gender, and class inequality. She is Director of Research at the Distributed AI Research Institute and a Senior Fellow at the Center for Applied Transgender Studies.

In part 1, we talk about their intentions with the book, cycles of hype and the effects of hype, the dangers of uncritical use of LLMs, “Slow Science”, and academic institutional culture. 

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

Transcript and URLs referenced at HumanCusp Blog.

How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors. 

In part 2, we talk about synthetic data, digital triplets, agentic AI and continuous autonomous improvement, and best practices for compliance. 

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

Transcript and URLs referenced at HumanCusp Blog.

How to manage the integration of AI at scale into the enterprise is the territory of today's guest, Diane Gutiw, Vice President and leader of the AI research center at the global business consultancy CGI. She holds a PhD in Medical Information Technology Management and has led collaborative strategy design and implementation planning for advanced analytics and AI for large organizations in the energy and utilities, railway, and government healthcare sectors. 

We talk about how enterprises manage the integration of AI at the dizzying speeds of change today, where AI does and does not impact employment, how the HR department should change in those enterprises, how to deal with hallucinations, and how to manage the risks of deploying generative AI in customer solutions. 

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

Transcript and URLs referenced at HumanCusp Blog.

We're talking about catastrophic risks, something that can be depressing for people who haven’t confronted these things before, and so I have had to be careful in talking about those with most audiences. Yet the paradox is that the more you do look at those risks, the more that effect fades, and that’s a good thing, because my guest today is someone who takes on the onerous task of thinking about and doing something about those risks every day. Seth Baum is the co-founder and Executive Director of the Global Catastrophic Risks Institute in New York, which has tackled the biggest of big problems since 2011. He is also a research affiliate at the Cambridge Centre for the Study of Existential Risk. He’s authored papers on pandemics, nuclear winter, and notably for our show, AI.

We talk about national bias in models, coherent extrapolated volition – like, what is it – the risks inherent in a world of numerous different models, and using AI itself to solve some of these problems.

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

Transcript and URLs referenced at HumanCusp Blog.

We're talking about catastrophic risks, something that can be depressing for people who haven’t confronted these things before, and so I have had to be careful in talking about those with most audiences. Yet the paradox is that the more you do look at those risks, the more that effect fades, and that’s a good thing, because my guest today is someone who takes on the onerous task of thinking about and doing something about those risks every day. Seth Baum is the co-founder and Executive Director of the Global Catastrophic Risks Institute in New York, which has tackled the biggest of big problems since 2011. He is also a research affiliate at the Cambridge Centre for the Study of Existential Risk. He’s authored papers on pandemics, nuclear winter, and notably for our show, AI.

We talk about how it feels to work on existential threats every day, AI as a horizontal risk as well as a vertical one, near-term value versus long-term value, AI being used to change the decisions of populations or voting blocs, and AI as a dual-use technology.

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

Transcript and URLs referenced at HumanCusp Blog.