Will military ethics principles make AI GRRET again?
soldiers looking at 3d map

U.S. Defense Secretary Mark Esper has announced the military’s five ethical principles for AI use. The devil will definitely be in the details because the guidelines are mostly a statement of values. But I already have concerns. Allow me to explain. Can ethical guidelines make AI GRRET again? I’ve acronymized the five principles as GRRET: “Governable. […]

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Struggling to explain AI? Try this before|after strategy.
woman exiting revolving door

To cut through AI complexity, focus on decisions. Never has it been more important to effectively explain complex concepts. Technology is influencing most decision processes, not always transparently so. On the bumpy road toward explainable AI (XAI), we find great communication options, from printed materials to state-of-the-art experiences. But where do you start, or know […]

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Can we explain AI with experiential? I say yes.
Museum of AI entrance

I’ll be at VentureBeat’s Transform AI conference July 10-11 in San Francisco. Let me know if you’re attending; would be great to meet. -Tracy It’s not always easy staying on the AI bandwagon. Claims of algorithmic bias abound and (mis)applications threaten people’s trust. Not everyone wants their face recognized or their driver’s license scanned. Developers […]

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How fun & games can make us better at deciding.

What is a fun experience really about? I’ve gained new perspective from Fun, Taste, & Games: An Aesthetics of the Idle, Unproductive, and Otherwise Playful (MIT Press). I have first-hand knowledge that the authors, John Sharp (Parsons/New School) and David Thomas, are in fact, fun: They would probably join you at Casa Bonita*. John and […]

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What we talk about when we talk about deciding: Notes from DAAG 2019

Since my work is about humans+AI deciding together, I attended DAAG 2019 in beautiful downtown Denver, exploring the “intersection of decision analysis and data science to take decision-making to the next level.” The intent was for decision analysts to better understand data science and “support data-centric decision-making” while data scientists could better “guide the use […]

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A peek inside LMNL’s immersive experience.
onedome LMNL interactive digital art

Lucky me, I got to visit Onedome, an interactive arts and entertainment space on Market in San Francisco. Besides immersive installations, you can attend a cool 32-person F.E.A.S.T. dinner (Fine Dining, Entertainment, Art, Story & Technology). LMNL is a labyrinth offering 14 interactive rooms of digital art. I visited the LMNL exhibit: Stunning immersive visuals […]

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Our #1 fear: Withering under scrutiny.
photo of Jerry Seinfeld

Jerry Seinfeld was wrong when he claimed public speaking is our #1 fear. I’m pretty sure we’re more afraid of having our decisions scrutinized. Adding to the fun, now algorithmic decisions are under pressure too. It is rather painful to have decisions second-guessed before the numbers come in, and even worse if things go pear-shaped. […]

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Don’t build a data department store.
shopper looking thru department store merchandise

To paraphrase Raymond Chandler, too many projects deliver department store data: The most of everything but the best of nothing. Enterprise AI and analytics developers must avoid the mistake of underserving people by overengineering solutions. Designers and decision makers need straightforward tools to make them better, to save time and facilitate their best work. They […]

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The skill set for explaining, XAI, and why they both matter.

As data complexity grows, so does the importance of explaining. The philosophy of science can teach us about the role of explaining in high-quality, evidence-based decisions. It’s not just navel-gazing: An explanation is a statement that makes something clear, or a reason or justification given for an action or belief. It describes “a set of […]

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Are you quantamental? Should you be?
quantamentalist, man holding playing card

Quantamental is an investment strategy combining quantitative and fundamental methods. Data and algorithms have “prompted many traditional fundamentals-centered discretionary funds to integrate data-driven tools in day-to-day decision-making.” MarketWatch says the quantamental merger of computing power and human expertise is investing’s next frontier. Example: Active trading based on a particular blend of conventional balance sheets and […]

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