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Author: Daniel Serfaty

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Join Aptima CEO, Daniel Serfaty, as he speaks with scientists, technologists, engineers, other practitioners, and thought leaders to explore how AI, data science, and technology is changing how humans think, learn, and work in the Age of AI.
38 Episodes
Human-robot collaboration gives new meaning to the word “disrupt”—but out of those disruptions there’s the promise of ultimately improving human performance in the work place. Join MINDWORK host Daniel Serfaty as he explores this brave new world with Prof. Julie Shah, associate dean of Social and Ethical Responsibilities of Computing at MIT, and Laura Majors, Chief Technology Officer at Motional, co-authors of the new book, “What to Expect When You’re Expecting Robots: The Future of Human-Robot Collaboration.”
“You can’t improve what you don’t measure. But you cannot measure what you don’t understand.” -LGen John H. CushmanIn today’s complex sociotechnical world, LGen Cushman’s words are more important than ever. Join MINDWORKS host Daniel Serfaty as he talks with Dr. Shawn Weil, Courtney Dean, and Evan Oster of Aptima about what it takes to blend the wisdom that comes from the field with the science that comes from the lab, to optimize and improve human performance in mission-critical settings. 
From the Golem of Prague, to Frankenstein’s monster, to HAL and the Terminator, literature and film are full of stories of extraordinarily artificially intelligent beings that initially promise a brighter future but in the end tragically turn against their human masters. Beyond the Hollywood lore, what are really the issues? Why is it important now, at this juncture, to study the ethics of artificial intelligence? No less than the future of work, of war, of transportation, of medicine, of manufacturing, in which we are blending two types of intelligences—artificial and human. Join host Daniel Serfaty as he explores the intersection of technology and philosophy to explore the ethics of artificial intelligence with Dr. William Casebeer, Director of Artificial Intelligence and Machine Learning at Riverside Research Open Innovation Center, and Mr. Chad Weiss, Senior Research Engineer at Aptima, Inc. 
Join host Daniel Serfaty in the fifth and final part of this highly successful series on the science of teams as he talks one-on-one with Professor John Hollenbeck of Michigan State University. Colleagues and friends for more than 30 years, Daniel and John explore the magic of teams, from their early work together on the US Navy’s groundbreaking A2C2 program, to how COVID and remote work is changing the very nature of teaming, to a future of multiteam systems that marries human intelligence and artificial intelligence.
Learning, education and training are undergoing major transformation in front of our eyes and not just because of COVID-19 and the remote learning we are experiencing as a result. Join host Daniel Serfaty as he talks with Janet Spruill and Dr. Krista Ratwani about the future of learning, whether technology is the answer, and how we might close the accelerating competency gap in the workplace.
In Part 4 of this five-part series on “The Magic of Teams,” host Daniel Serfaty goes deep into one of the most important technological achievements of our time: the marriage between artificial intelligence and human intelligence. Daniel talks with Dr. Jared Freeman and Dr. Adam Fouse about a future for human-AI teams that uses the best of human expertise combined with data-rich artificial intelligence, in which the augmentation of human intelligence by AI could not only improve work effectiveness, but perhaps even better humankind in general.
Data is currently outpacing the theories on how teams work—is that a problem? Can AI help? What it will take for NASA to send a team on a multi-year mission to Mars? MINDWORKS host Daniel Serfaty talks with team science experts Dr. Steve Kozlowski, Dr. Tara Brown, and Dr. Samantha Perry on the future of teams to address these and other questions in this groundbreaking five-part series. 
As we evolve toward a future of multi-species teams made up of human intelligences and artificial intelligences, what's going to happen to team science? Should we apply blindly apply what we know about teams at work and say, "Well, it works with humans. There is no reason it shouldn't work with artificial intelligence and human teams." Or is there a possibility for developing a whole new science? Join host Daniel Serfaty for a MINDWORKS Mini featuring Eduardo Salas, Scott Tannenbaum, and Kara Orvis as they explore how the addition of AI is going to change not only the nature of teamwork, but our understanding of ourselves as humans. 
With MINDWORKS exploring the Magic of Teams over the past few weeks, it seemed like a good time to revisit host Daniel Serfaty’s discussion about human-AI teams with a unique team made up of three humans and one artificial intelligence named Charlie. We’ve combined two shorter episodes into one special edition and—in case you’re thinking you’ve heard these episodes already—this special producer’s cut contains the full-length interview, including material not previously broadcast in the original two episodes. The episode also includes the original introduction to provide context and set -up for this conversation about the magic of of human-AI teams with Aptima’s Dr. Nathan Schurr, Dr. Patrick Cumming, Ms. Deirdre Kelliher, and Charlie herself. Happy holidays!
Come along as we continue our five-part series on The Magic Teams with Part 2, Teams in the Wild. MINDWORKS host Daniel Serfaty talks with experts Dr. Eduardo Salas and Dr. Scott Tannenbaum, authors of “Teams That Work: The Seven Drivers of Team Effectiveness,” and Dr. Kara Orvis, about real-world teams, from oil rig crews to Wall Street traders to NASA space crews—and everything in between.
Much of our work today gets carried out by teams. Teams of humans, teams of humans and machines, distributed teams, virtual teams—almost all of us operate in teams. But what exactly is a team? What differentiates high performing teams from low performing ones? Can advances in team science help improve team performance? Join MINDWORKS host Daniel Serfaty for the first of a five-part series on “The Magic of Teams.” In this first episode exploring “The ABCs of Teams,” Daniel talks to Dr. Nancy Cooke, the Director of Arizona State University’s Center for Human, AI and Robot Teams, and Dr. Stephen Fiore, Director of the Cognitive Sciences Laboratory at University of Central Florida, leading experts in the field of team science. Nancy and Steve are not only very well versed in the research and science of teams, but they also come from very multidisciplinary backgrounds, ranging from philosophy to psychology to engineering and everything in between. And perhaps this is our first insight into this complex domain of teams—that we basically need many arrows in our quiver to take advantage of the opportunities that working in teams presents to us.
Learning, education and training are undergoing major transformation in front of our eyes and not just because of the pandemic and the remote learning we are experiencing as a result. A vast amount of data generated by schools, learning environments, and training systems about the learner is now available. When you combine that data with advanced technologies such as artificial intelligence, data analytics, and adaptive learning systems, it not only helps us measure and understand how humans acquire new skills and absorb new knowledge, but as we will learn on this episode of MINDWORKS, it may also have the power to address societal problems of learning equity. 
Once upon a time three friends set off to build a company made up of equal parts technologies and human scientists. They believed that they could build systems in which humans and technologies can coexist in harmony—they called it “Human-Centered Engineering.” They believed at the same time they could build a human-centered company as well. Join MINDWORKS host Daniel Serfaty, as he talks with his Aptima, Inc. co-founders Meg Clancy and Dr. Jean MacMillan about how they built a successful company out of a crazy idea, where the human is at the center of everything they do.
The science of human performance measurement allows us to quite literally get under our skin and into our brains to capture measures of human performance in workers, soldiers, medical personnel, and others. In the Age of AI, with both increased miniaturization of sensor technologies and intelligent data analytics, how do we make sense of physiological indicators to improve worker safety and effectiveness? Join MINDWORKS host Daniel Serfaty, as he speaks with Aptima’s Kevin Durkee and Zachary Kiehl, as they share the journey they undertook as researchers and scientists in taking an abstract research idea, turned it into a useful product, and then around it formed a brand new start-up company to reach new markets with their solution. 
In the age of digital hyperconnectivity, we’re able to track, monitor, and measure human physical performance and fitness as never before. This week, occupational physiologist and physical trainer, Mark White, and Senior Scientist, Dr. Tim Clark of Aptima, discuss how for the first time in history, by combining data analytics, AI, and measurement technology, we have the potential to provide individualized, precision physical training—to improve not only health and wellness, but aid in recovery from injury—for entire populations but tailored to each individual. Mark and Tim address what can be done today to improve fitness on the individual, the team, and the enterprise levels, and share their visions of what could be done in the future by discovering the right balance between common sense experience and human performance science and technology. 
In Part 2 of this special two-part inaugural MINDWORKS podcast, meet CharlieTM, Aptima’s AI employee and the world’s first AI podcast guest. This week, Charlie joins her human godparents, Dr. Nathan Schurr, Dr. Pat Cummings, and Ms. Deirdre Kelliher, to discuss how AI promises to transform the future of work. 
With the introduction of automation and artificial intelligence, AI is drastically changing the way many jobs are done. Despite fears of job elimination and replacement, the paradox is that the more we introduce AI, robotics, and autonomous machines into our lives, the more critical it is to understand our roles as humans. How is AI going to change the way we work? How will it change the way we learn? After building their own AI coworker, CharlieTM, Dr. Nathan Schurr, Dr. Pat Cummings, and Ms. Deirdre Kelliher join MINDWORKS to discuss what it’s like to work, interact, and create with a new species of colleague and how AI promises to transform the future of work.
What do you have to consider when taking human measurement and training science and technology in one domain, then transferring it to another? How do you take all the tools, smarts, theories of human performance, sophisticated measurement tools and transfer them into a different domain? MINDWORKS host, Daniel Serfaty, talks with Dr. Shawn Weil, Courtney Dean, and Evan Oster of Aptima, as they share their experiences pivoting from one domain to another. Listen to the entire interview in Mission-Critical Environments: Can we improve human performance? With Shawn Weil, Courtney Dean, and Evan Oster.
Whether with methods or tools or just intuition sometimes to measure humans to improve their performance in doing their job, we track measurements. Have you ever thought to yourself, “why is measurement important”?  MINDWORKS host, Daniel Serfaty, sits down with Dr. Shawn Weil, Courtney Dean, and Evan Oster of Aptima to learn more! Listen to the entire interview in Mission-Critical Environments: Can we improve human performance? With Shawn Weil, Courtney Dean, and Evan Oster.
When studying human performance, we need multidisciplinary curiosity along with the combination of methods to crack the nut of the difficult problem that capturing human performance represent. What does that look like? MINDWORKS host, Daniel Serfaty, sits down with Dr. Shawn Weil, Courtney Dean, and Evan Oster of Aptima to learn more! Listen to the entire interview in Mission-Critical Environments: Can we improve human performance? With Shawn Weil, Courtney Dean, and Evan Oster. 
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