DENVER, September 21, 2021/Museum of AI/- The Museum of AI is pleased to announce that Laureen Trainer has joined its Advisory Council. Tracy Allison Altman, museum Executive Director, said “Laureen brings a wonderful combination of museum operations and audience development and communication skills. As a Museum of AI advisor Laureen will help guide development of our live and virtual museum events and experiences.”
Trainer’s background includes senior roles with the Denver Museum of Nature & Science, the Autry Museum of the American West, and the Zimmerli Art Museum at Rutgers University. Trainer holds a Master’s degree in Museum Science and a Master’s in Art History, Criticism, and Conservation.
Trainer said “It’s wonderful to work with such a forward thinking and exciting group of people. I love the vision of showing how humans and AI can and will continue to work together.”
Today we look at three aspects of Human+AI collaboration. First, the evidence on how we blame robots for mistakes. Next, a practical guide to designing people+algo decision-making processes. Thirdly, we consider a business leader’s level of AI Fitness – a way of describing the skills required for AI success.
Speaking of suspected bad robots, Hollywood released a movie featuring a good-hearted AI that teaches humans to be more optimistic and kind. Grab the fam or a friend and go see Free Guy (Alex Trebek and Chris Hemsworth have cameos). You will find yourself wanting to wear a blue shirt.
So let’s apportion some blame, shall we?
Finger pointing, robot blaming.
Emerging research examines how people assign blame when an algorithm makes a mistake. In Human Factors, Furlough and friends look at how we view imperfect Human+AI outcomes and apportion blame to humans, nonautonomous or autonomous robots, and environmental factors/conditions.
The authors “suggest that humans use a hierarchy of blame in which robots are seen as partial social actors, with the degree to which people view them as social actors depending on the degree of autonomy.”
So your Human+AI hybrid went pear-shaped. When humans have little awareness or control over an algo, we rush to judgment and assign blame asymmetrically. Writing in Risk Analysis about semi-autonomous vehicles, Liu et al. explain a tendency to judge an “automation-caused crash more harshly, ascribe more blame and responsibility to automation and its creators, and think the victim in this crash should be compensated more.”
Read more about finger pointing here.
Twelve great ways to work with an algo
Understandably, much of the AI conversation centers around algorithms that make decisions for us, or about us. But many important choices can be collaborative, allowing people and machines to perform tasks together: Insurance underwriting and customer service, to name two.
Get a quick guide on designing Human+AI
collaborative processes (free download)
Going back to autonomous vehicles. When the rubber hits the road, people+algo collaboration is much more nuanced than “You can drive” or “Give me the keys”. In an especially worrisome scenario, it devolves into a tense exchange about the best way to reach the airport in heavy traffic.
Who should take the wheel? To illustrate possible levels of Human+AI collaboration, we put together examples from the perspective of someone sharing control with a so-called self-driving car. View/download 12 Ways People & AI Work Together. Varying level of human awareness, input, and control determine who sets the speed or plans the route.
AI Fitness is like a secret recipe of great decision
process, business instincts, and AI.
AI Fitness: Get ready for new ways of deciding
Technical knowledge is foundational. But knowing when & why to apply AI can mean the difference between mission failure and success. It’s helpful to think of this essential knowledge as AI Fitness, meaning capability to recognize and adapt to situations where artificial intelligence can inform decision-making.
What do you think? Achieving a suitable AI Fitness level is no small feat. Understanding high-quality decision processes is just the beginning. Knowing how to connect AI actions with business outcomes is another key component. What other foundational skills and experience are essential for AI Fitness? Let us know.
Museum of AI is happy to announce a new online experience: Guided by actors, visitors learn AI concepts and solve challenges in a game-like, escape-room environment. See the sneak preview.
We will blend our experience content with gathering apps such as Mmhmm, Gather, Zoom, Underline Science, and Whova. And I’m pleased to be a ‘private alpha’ host for an intriguing new app called Nowhere.
Preparing for a couple of upcoming talks, we’re thinking about innovative ways of explaining AI to decision-makers.
1. Reframe the online event. With artificial intelligence and virtual events booming, we still see an urgent, unmet need to explain AI effectively. WFH has encouraged many to go beyond the PowerPoint webinar. But let’s not try replicating the face-to-face experience because a) it’s not possible, and b) we can create new forms of interacting that would not happen in meatspace (should we bring it back? We’re tired of ‘virtual’ and ‘IRL’). Clever content now will give us a leg up when hybrid events start happening.
2. Avoid another hayride. Better to engage people by challenging them and nurturing connections with a shared experience. Comedy and escape rooms are useful and desirable. But the real opportunity is attaching them to meaningful content before, during, and after People will walk away with a deeper understanding of AI concepts ~ and a smile on their face. For instance: What should decision-makers do when an AI goes off the rails? Restrict/ban its use, or repair/improve it? Pull them into a realistic, hands-on example wrapped in an appealing story.
Hear about practical ways to create state-of-the-art immersive experiences suitable for an executive audience. We invite you to join our ED’s talk: Build a Better Virtual Tech Conference: Laugh First, Learn Later on Wednesday, December 2 @ 2:00 pm Eastern. Register now for this free event. Next month we’ll share new trends in communicating AI-generated evidence.
AI poetry contest! The museum is curating a collection of poems about artificial intelligence, and we want to hear yours! The best one wins a gorgeous water bottle. Any type of poem, really – limericks are good!
To kick things off, we offer hAIku:
What is in my past / That will decide my future / Do I have a choice
Hello museum enthusiasts!
I feel AI impacting here!
Tune in Tomorrow is one of my favorite movies (sadly overlooked). Stellar satire about a radio show, starring Peter Falk and a young Keanu Reeves. The best line: “I feel reality impacting here!”
That sums 2020 up for me. Art can reveal what technology alone cannot, the concept behind Museum of AIcore strategy: Combining a low-fi immersive storytelling aesthetic with rigorous AI learning objectives. For instance, one museum experience considers whether AI is the devil’s handmaiden (a ridiculous idea, at least until Lucifer codes his own algo).
That sums 2020 up for me. Art can reveal what technology alone cannot, the concept behind Museum of AI core strategy: Combining a low-fi immersive storytelling aesthetic with rigorous AI learning objectives. For instance, one museum experience considers whether AI is the devil’s handmaiden (a ridiculous idea, at least until Lucifer codes his own algo).
People and machines can work together in many ways. Key considerations are: Who decides what qualifies as an ‘exception’? Who sets the guardrails? And who makes the final call? Human+AI collaboration on decision making, also known as human-in-the-loop AI or augmented intelligence, can be split into finely-grained categories. Industry leaders have offered so many tables, analyses, articles, and matrices!
What examples would you find helpful in explaining augmented intelligence to your audience? With our partners, we are illustrating concrete Human+AI use cases, everything from recommending a health intervention to marketing a new TV series.
The museum team is organizing an online Good Question gathering to examine the pluses/minuses of artificial intelligence in the criminal justice system. Agenda items include a review of pretrial risk-assessment algorithms and research on their validity. Stay tuned for your invite to attend at no charge. Who would you like to hear from? Do you want to give a talk?
Until next time,
P.S. RIP Ari the standard poodle, MoAI Head of Security and beloved friend.
Hello friends! These certainly are interesting times for artificial intelligence, and for museums. We are doubly blessed. Museum of AI is dedicated to showing people what it’s like to work with real-world machine intelligence, hopefully without sucking the fun out of it.
The need to figure out AI is accelerating. While our live events are postponed, we are creating online experiences true to our actor-led, tongue-in-cheek aesthetic. The possibilities give this pandemic cloud a silver lining.
Good Question: New series on all things AI.
I am proud to say Museum of AI is launching a series of gatherings, each exploring a Good Question about business, science, or policy. Questions will be tackled by creators and practitioners, policy-makers, business execs, researchers, community members, and hopefully you.
Expect unique, interactive content about pressing issues: Evidence-based analysis, thoughtful insights, and nuanced answers. The gatherings will be online for now.
Good Question #1: ‘Does AI belong in crime prevention?‘ Stay tuned for an announcement. Future events will address:
‘How should policy-makers respond to broken or flawed AI?’
‘Which AI applications are most promising for cities of the future?’
Let us know what you’d like to ask.
Focus area for MoAI: Technology designed to work with people, rather than replace them, a/k/a Human+AI collaboration or augmented intelligence. This is where humans and machines do what they do best, together making better decisions and producing better outcomes. Museum Executive Director, Tracy Allison Altman, wrote recently about how House Hunters is similar to human-in-the-loop AI.
Denver, July 9, 2020/Museum of AI/- In a Q&A with enterprise knowledge-sharing vendor Bloomfire, Museum of AI’s Executive Director, Tracy Allison Altman, touched on several topics including the future of knowledge at work, human-AI interaction, and challenges facing business decision-makers.
On the future of knowledge at work, Tracy said:
“I believe that as AI gets smarter and better at explaining itself, the strongest people will learn from that and develop a better understanding of how to make systematic, high-quality decisions. They will thrive, contribute more value, and learn to explain the knowledge that’s rigorous and understandable.”
“Technology will continue to eliminate drudgery and dull, repeatable tasks with tools such as robotic process automation (RPA). This should free people up to capture and share the knowledge that’s most important, the stuff the machines can’t do on their own. I hope people will be inspired to create new ways to present knowledge, to make it more understandable, accessible, and reusable.”
On knowledge and decision-making:
“It’s incredibly difficult to understand how people know what they know and decide what they decide. Oftentimes we don’t or can’t articulate this to others, and sometimes we don’t understand it ourselves.”
“It’s equally difficult, and just as important, to understand how machines “know” what they know, and how algorithms make recommendations or choices.”
Lots is happening at Museum of AI. Smiles all around.
Artificial intelligence has huge potential for important finance functions. Tech can overcome human weaknesses, but it can also introduce harmful algorithmic bias.
MoAI is developing immersive experiences about AI for lending, investing, and underwriting. We will explore behavioral economics, fairness, and financial outcomes: How are key players being affected? Guests will discover how people and AI can collaborate or collide.
Museum of AI is dedicated to documenting the evolution of artificial intelligence capabilities, limitations, and impact: Capturing the whole AI story.
The museum is archiving artifacts of illustrative moments, places, and policies. Quick example: When IBM Watson responded “What is Toronto?” to a Jeopardy! question about U.S. cities. The archive is gaining steam and getting great suggestions. Let us know what you’d like to see.
Our experiential installations show how it feels to see, touch, and work with AI. We always want to maintain accessibility when choosing the props, improv comedians, puzzle parts, and funky sets for our experiences. Museum of AI has formed an advisory group to address accessibility issues: Let us know if you are interested.
Denver, Jan 27, 2020/Museum of AI/- Museum of AI co-founder Jeff Altman participated in Immersive Denver‘s workshop, Immerse in Access on Jan 27, hosted by the Denver Center for the Performing Arts’ Off-Center.
Jeff said “The Museum of AI wants everyone to enjoy our installations. We always seek to design accessibility into our guest flow, storytelling, puzzles, props, and sets. This workshop helped us realize how much more we can do. As a result, the museum is forming an advisory group to address accessibility issues and welcomes input from anyone interested.”
SAN FRANCISCO, Oct 28, 2019/Museum of AI/- The Museum of AI is delighted to announce a satellite installation at ODSC West (Open Data Science Conference) in South San Francisco, CA on Oct 29. Tracy Altman, Executive Director, said “Thousands of data scientists gather at ODSC to share research, explore innovative technology, and make new connections. It’s a perfect setting for Museum of AI.”
Altman said the immersive theater popup will showcase the museum’s Cookin’ with AI production, where guests consider the impact of artificial intelligence on food and cooking. “Expect escape room-type challenges, interactions with improv comedians, and hands-on AI experiences” she explained.
The museum’s permanent collection of artifacts documents the development of artificial intelligence and its influence on the decisions that impact people’s lives. A sample of these artifacts will be displayed in the popup museum lobby at ODSC.
DENVER, August 28, 2019/Museum of AI/- The Museum of AI is delighted to announce that Paul McLachlan, PhD has joined its Artificial Intelligence Advisory Council. Tracy Allison Altman, museum Executive Director, said “Paul brings a fantastic combination of analytical, research, and communication skills. As a Museum of AI advisor he will help guide development of events and experiences.”
McLachlan heads up data science in the San Francisco office of Ericsson’s Global Artificial Intelligence Accelerator and is a published author. He is passionate about communicating data science concepts and values to business executives and other non-expert audiences.
McLachlan said “I’m excited to work with this innovative organization. We share a commitment to demystifying AI through experiential learning.”
The Museum of AI’s mission is to build understanding. “We provide a hands-on way for people to work with artificial intelligence,” says Altman. “Our immersive exhibits bring complex AI concepts into focus so everyone can experience them firsthand.” Museum guests interact with game-driven challenges, immersive theater, and rigorous technical content integrating real-world AI technology.
DENVER, May 28, 2019/Museumof AI/- The Museum of AI has named Jessica Austgen as its Head Writer. Lonnie Hanzon, Artistic Director of the museum, said “Jessica’s rare combination of skills – writing, acting, improv & teaching – are a perfect storm for this project. To top it off, she has a wicked sense of humor, which makes the work really fun.”
At the True West Awards, Jessica Austgen was named 2018 Colorado Theatre Person of the Year. Her many accomplishments include Sin Street Social Club (playwright), Curious Theatre’s Collapse (actor), and improv festivals (performer, instructor, organizer).
The Museum of AI’s mission is to build understanding. “We provide a hands-on way for artificial intelligence vendors to show people how AI powers can be used for good,” says Executive Director Tracy Allison Altman. Our experiential learning exhibits bring complex AI concepts into focus so people can experience them firsthand. Participants interact with game-driven challenges, immersive theater, and rigorous technical content integrating real-world AI products.
DENVER, Apr. 30, 2019/Museum of AI/- The Museum of AI has named Lonnie Hanzon as its Artistic Director. Tracy Allison Altman, Executive Director of the museum, made the announcement: “We are delighted that Lonnie is joining our leadership team. His creative talent and large-project experience will make him an essential contributor to our immersive installations about humans working with artificial intelligence.”
Hanzon is a Colorado-based installation artist. Altman continued, “I have been a longtime fan of Lonnie’s, so the opportunity to work alongside him means a lot to me personally. We’ve put together a stellar team of artists, writers, puzzle masters, technologists, and educators. Our experiential learning exhibits bring complex AI concepts into focus so people can experience them firsthand.”
The Museum of AI’s mission is to build understanding. “We provide a hands-on way for artificial intelligence vendors to show people how their technology products can help them make decisions,” Altman said. Participants interact with game-driven challenges, immersive theater, and rigorous technical content integrating real-world AI products.
DENVER, Apr. 22, 2019/Museum of AI/- Tracy Allison Altman announced the Museum of AI, offering experiential installations where people learn about artificial intelligence: “Think 33% immersive experience and 67% rigorous AI learning. Museum of AI is the culmination of years of applied research. Our mission is to build understanding: We provide a compelling, hands-on way for artificial intelligence vendors to show people how they can apply their technology.”
Altman, museum Executive Director, said “We’ve put together a stellar team of artists, writers, puzzle masters, technologists, and educators to create experiential learning programs. Exhibits at Museum of AI bring complex concepts into focus so people can experience them firsthand.” Participants interact with game-driven challenges, immersive theater, and rigorous technical content integrating real-world AI products.