Many of our listeners will be familiar with human-centered design and human-computer interaction. These fields of research and practice have driven technology product design and development for decades. Today, however, these fields are changing to adapt to the increasing use of artificial intelligence, leading to an emerging field called human-centered AI.

Prior to the widespread use of AI, technology products were powerful, yet, predictable—they operated based on the rules created by their designers. With AI, however, machines respond to data, providing predictions that may not be anticipated when the product is designed or programmed. This is incredibly powerful but can also create unintended consequences.

This challenge leads to the questions: How can we design AI-based products that provide benefits to humans? How can we create AI systems that learn and change with new data but still provide consequences intended by the system’s designers?

These questions led us to interview Ben Shneiderman, an Emeritus Distinguished University Professor in the department of Computer Science at the University of Maryland. Ben recently published a wonderfully approachable book, Human-Centered AI, which provides a guide to how AI can be used to augment and enhance humans’ lives. As the founding director of the Human-Computer Interaction Laboratory, Ben has a 40-year history in researching how humans and computers interact, making him an ideal source to talk with about how humans and AI interact.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

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Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

“How can we augment our thinking spaces to increase creative solutions? How can we make those solutions real by mastering complexity?” Julio Mario Ottino and Bruce Mau ask and answer these questions in their ambitious and visually stunning work, The Nexus.

In their book, Ottino and Mau take on a big subject—how to augment your thinking by integrating art, technology, and science. It is a thought-provoking and curiosity-enhancing book—perfect for rewilding your attention with its glorious footnotes and gorgeous visuals.

Our takeaways (not to plot bust) for being a Nexus thinker:

* Experiment—the world is too uncertain to spend too much energy and time overly planning and analyzing, whether it’s from data or from intuition. We have to learn to dance between data and intuition, to be in both the rational and emotional at once.

* Develop the art of coexistence. We are trained (and like to think) in terms of black and white, A versus B. We have to learn how to hold opposing ideas at the same time and yet be still able to act. This is hard but artists do it all the time and leaders can learn.

* Complex systems require us to think more and more in terms of tradeoffs. And complex systems exhibit a property called emergence, where literally behaviors we can’t predict emerge as a result of the system. The job of leaders is now to create conditions that allow for successful emergence.

* The best opportunity to tackle the world’s greatest problems—those of unprecedented complexity—is by working at the Nexus, where art, technology and science converge.

Ottino and Mau challenge us to think beyond the boundaries of our specialities and training, to be curious about how others in unrelated fields discover knowledge and find their creativity. It is thinking for our age, where design becomes the method for discovery.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

We hear a lot about harm from AI and how the big platforms are focused on using AI and user data to enhance their profits. What about developing AI for good for the rest of us? What would it take to design AI systems that are beneficial to humans?

In this episode, we talk with Mark Nitzberg who is Executive Director of CHAI or the UC Berkeley Center for Human-Compatible AI and head of strategic outreach for Berkeley AI Research. Mark began studying AI in the early 1980s and completed his PhD in Computer Vision and Human Perception under David Mumford at Harvard. He has built companies and products in various AI fields including The Blindsight Corporation, a maker of assistive technologies for low vision and active aging, which was acquired by Amazon. Mark is also co-author of The AI Generation which examines how AI reshapes human values, trust and power around the world.

We talk with Mark about CHAI’s goal of reorienting AI research towards provably beneficial systems, why it’s hard to develop beneficial AI, variability in human thinking and preferences, the parallels between management OKRs and AI objectives, human-centered AI design and how AI might help humans realize the future we prefer.

Links:

Learn more about UC Berkeley CHAI

Subscribe to get Artificiality delivered to your email

Learn more about Sonder Studio

P.S. Thanks to Jonathan Coulton for our music

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Have you ever wondered why you can recognize and remember things but can’t describe them in words? That is one of the questions that started Barbara Tversky’s contrarian research and academic career, leading to her theory that spatial thinking is the foundation of abstract thought. While most people were focused on language as central to human thinking, Barbara recognized that our relationship with the spaces we inhabit, including mental ones, provided a unique way of understanding the world. In her book, Mind in Motion, Barbara shows how spatial cognition is the foundation of thought and allows us to draw meaning from our bodies, our movements and the spaces around us.

We find Barbara’s work to be incredibly fascinating, especially as we consider the current approach to AI and technology design. While there is an extraordinary amount of investment being made into language AI, Barbara’s work causes us to wonder about the opportunities for AI that taps into our spatial reasoning. We’re just starting to scratch the surface of this idea in our design work and thank Barbara for uncovering the idea and sharing it in her wonderful book.

In this episode, we talk with Barbara about spatial thinking as the foundation of abstract thought, the linearity of spaces and perception of distances, putting thought into the world, the creative power of sketching, self-driving cars, aphantasia (aka lacking a mind’s eye) and the confusion between sight and navigational ability.

Barbara Tversky is an emerita professor of psychology at Stanford University and a professor of psychology at Teachers College at Columbia University. She is also the President of the Association for Psychological Science. Barbara has published over 200 scholarly articles about memory, spatial thinking, design, and creativity, and regularly speaks about embodied cognition at interdisciplinary conferences and workshops around the world. She lives in New York.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

All major companies are working to increase the value of data science. Setting a goal may be easy but implementation often raises challenging questions. How should companies think about the role of data scientists, the challenge of increasing diversity in data science and increasing data literacy and data-driven decision-making?

In this episode, we talk with Megan Brown, the Director of Data Science for Starbucks’ Global Center of Excellence. Megan has a unique background. They have experience and expertise in both humans (with a PhD in experimental psychology) and in machines and data (as a practicing data scientist). This gives them a unique perspective on how to help others solve business problems with data.

We talk with Megan about their journey from fifth grade teacher to data scientist, how non-data science executives should make the most of data science, the responsibility of humans to act on predictions from models and make human-to-human connection, the challenge of asking data scientists to take on too many roles, the conundrum of self-service and their Aspen Institute-sponsored project to bring more diversity to data science by bringing Starbucks’ partners from the stores into data science roles.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

This week we talk with Peter Sterling, the author of What is Health.

Peter has had a long career in medicine and neuroscience. He has recently published in Jama Psychiatry, with Michael Platt, on Why Deaths of Despair Are Increasing in the US and Not Other Industrial Nations with many Insights From Neuroscience and Anthropology. While that might not sound like AI, we do wonder what the role of technology might be for all of us to make better personal decisions about our health.

Peter caught our attention with his concise and understandable description of how evolution, by optimizing for energy efficiency, has built human brains. We care about this for a couple of different reasons.

First, his work is relevant to how we make decisions as modern humans. This tells us the things that matter to us, where there are evolutionary mismatches and what we might do about it.

Second, here at Sonder Studio we care about how humans create meaning and how we learn and cohere with our communities—other brains and by implication, other intelligences. This leads us to be naturally curious about how brains work as well as how AI works. We are obsessed with understanding and designing for this interaction. We start our decision-making workshops with key insights from Peter’s book because it really matters to understand something about how our brains are built and what makes them so different from AI.

We really enjoyed this conversation and appreciate Peter’s time with us. We think you’’ll enjoy it too.

Links to things about Peter:

Lecture: What is Health? Cornell University Sept 2021

Interview by Andrew Keen: Homeostasis vs. Allostasis

Webinar: What does our species require for a healthy life

Interview: What does our species require for a healthy life?

Essay: Q&A in Current Biology

Lecture: What is Health?: NEI. Oct 27 2020.

Lecture/Interview: Conversatorio sobre racismo

Essay: Human design in a post-COVID world

Essay: Attention! One morning with a roving mind

Essay: Covid-19 and the harsh reality of empathy distribution Scientific American

Essay: How neuroscience could explain the rise of addictions, heart disease, and diabetes in 21st century America TIME

Twitter: Peter Sterling @whatishealth21

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

It’s human to know oneself. We are able to self-monitor, understand our cognition, and recognize gaps in our knowledge. This is called metacognition—we think about how we think. We can think of it as self-awareness or the ability to understand the state of our knowledge. In this episode, we talk with Stephen Fleming, Professor of Cognitive Neuroscience at University College London.

Steve has recently published a book on this topic called Know Thyself. We wanted to explore a number of ideas with him—metacognition as uniquely human, as an important skill, whether machines need to have some form of awareness and the issue of agency and machines. 

In his book, Steve proposes that we either put self-awareness into machines, thereby reducing our need for self-awareness, or design interfaces that increase human self-awareness. If we have self-aware machines then we risk losing our own. If we want better self-awareness we must prioritize how an AI metacognition can show us its uncertainty and error. This second route is more likely to result in humans retaining autonomy. It preserves the human role of wrestling uncertainty, seeking explanations, and making sense of the world. Perhaps the biggest insight for us regarding agency and AI is how to think about it as having a structure. We talk about how true autonomy is aligning our choices and wants and how machines play a role.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Have you ever wondered what it means to be data literate in a world of big data and AI? Now that so many decisions rely on information that is only readable by machine and our statistical intuitions, which were bad before, are now practically useless, what is data literacy in the age of AI and how important is it? We talked with Jevin West, assistant professor in the Information School at the University of Washington, co-founder of the DataLab, director of the Center for an Informed Public and co-author of the acclaimed book Calling B******t to ask these questions and more.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Have you wondered what makes people different from machines? Well one thing is curiosity—curiosity is something that drives humans but as yet not machines. And one person that knows humans and curiosity is Michael Bungay Stanier, coach extraordinaire and well-known author of the best selling books The Coaching Habit and The Advice Trap. 

We first met Michael at the House of Beautiful Business, a very special community that gathers in Lisbon each year to make humans more human and business more beautiful. All three of us will be back at the House again this November and we highly encourage you to join in person or online.

In this interview, we wanted to find out what makes a good coach. According to Michael, it is being able to stay curious just a little bit longer. Perhaps that is what will make humans better coaches than AI for a while yet.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai 

Making decisions with data requires some form of communication with data. But how do we communicate with numbers and characters and binary bits? The best way today is through data visualization.

Visualizing data has come a long way since the early days of hand-drawn charts and graphs. Starting with the desktop publishing revolution of the 1980s through to the current world of data viz tools in the cloud, anyone can create a graphical representation of data. While in many ways this democratization of data visualization is a good thing, it also means we're awash with charts and graphs, many of which unintentionally don't tell the story intended. Some intentionally mislead.

Visualizing data well is more complex than you might think and that's why we reached out to a true expert in the field, Mollie Pettit, to talk about how she approaches visualization. In particular, we were interested in some of the more complex issues like how to visualize confidence in data.

About Artficiality from Helen & Dave Edwards:

Artificiality is a research and services business founded in 2019 to help people make sense of artificial intelligence and complex change. Our weekly publication provides thought-provoking ideas, science reviews, and market research and our monthly research releases provides leaders with actionable intelligence and insights for applying AI in their organizations. We provide research-based and expert-led AI strategy and complex change management services to organizations around the world.

We are artificial philosophers and meta-researchers who aim to make the philosophical more practical and the practical more philosophical. We believe that understanding AI requires synthesizing research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. We are dedicated to unraveling the profound impact of AI on our society, communities, workplaces, and personal lives. 

Subscribe for free at https://www.artificiality.world.

If you enjoy our podcasts, please subscribe and leave a positive rating or comment. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Learn more about ⁠⁠Sonder Studio⁠⁠

Subscribe to get ⁠⁠Artificiality⁠⁠ delivered to your email

Learn about our book ⁠⁠Make Better Decisions⁠⁠ and buy it on ⁠⁠Amazon⁠⁠

Thanks to ⁠⁠Jonathan Coulton⁠⁠ for our music

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit www.artificiality.world.

#ai #artificialintelligence #generativeai #airesearch #complexity #futureofai