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Humans+AI: Collaborate, don't collide

How to work with AI

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Will military ethics principles make AI GRRET again?

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...
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Struggling to explain AI? Try this before|after strategy.

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...
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Museum of AI entrance

Can we explain AI with experiential? I say yes.

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...
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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:...
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woman-in-beach-with-shark-sign

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...
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A peek inside LMNL’s immersive experience.

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...
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silver corded microphone in shallow focus photography

Our #1 fear: Withering under scrutiny.

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...
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shopper looking thru department store merchandise

Don’t build a data department store.

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...
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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...
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quantamentalist, man holding playing card

Are you quantamental? Should you be?

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...
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Museum musings.

Pondering the places where people interact with artificial intelligence: Collaboration on evidence-based decision-making, automation of data-driven processes, machine learning, things like that.

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