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muscle car by bing/create

Stolen cars and AI ‘moral self-correction’

20 June 2023By
Is AI getting closer to human values? It’s no secret that algorithms can produce systemically biased recommendations, such as in lending decisions. Some good news: A team at Anthropic tested the hypothesis that “language models trained with reinforcement learning from human feedback (RLHF) have the capability to ‘morally self-correct’ — to avoid producing harmful outputs...
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person in silhouette with orange background, pondering AI input for an evidence based decision

Can you trust AI with your next decision? Part 3 in a series on fact-checking/citation

9 May 2023By
Where were you on 30 November, 2022? When OpenAI made ChatGPT vers. 3.5 generally available? By some accounts, the heavens opened up, showering us with new knowledge and tools for creating valuable content. Five months on, consumer-facing, generative AI has started a frenzy, and is often confused with “artificial intelligence” ~ although it’s but one...
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image generated by bing image creator bottle on apothecary shelf

How is generative AI referencing sources? Part 2 in our series

25 April 2023By
Continuing our analysis of how the new bots are supporting their statements with evidence. Things are changing so rapidly that some of the responses we wrote about just several weeks ago have changed substantially. Today we look at ChatGPT, Bard, Bing, and scite. Bing shines with its presentation design. ChatGPT. When we ask Should I take zinc for...
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photo of row of townhouses seen through fisheye camera lens

How Human-in-the-Loop AI is Like House Hunters

12 August 2020By
House Hunters International is great guilty-pleasure viewing, especially while nursing a cold or avoiding the plague. (Pro: Insider views of interesting cities. Con: Reminders of the unique pain of choosing a place to live.) It’s easy to add city center, natural light, and extra bedrooms to your wish list, but painful to accept the inevitable...
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woman-in-beach-with-shark-sign

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

1 May 2019By
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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silver corded microphone in shallow focus photography

Our #1 fear: Withering under scrutiny.

6 February 2019By
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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shopper looking thru department store merchandise

Don’t build a data department store.

16 January 2019By
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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quantamentalist, man holding playing card

Are you quantamental? Should you be?

13 November 2018By
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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Building trust in the decision process

Evaluate your decision process separately from your outcomes.

12 August 2018By
How we decide is no less important than the data we use to decide. People are recognizing this and creating innovative ways to blend what, why, and how into decision processes. 1. Apply behavioral science → Less cognitive bias McKinsey experts offer excellent insight into Behavioral science in business: Nudging, debiasing, and managing the irrational...
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fox

What makes us trust analytics, and how to argue.

7 June 2018By
1. Prior experience → More trust In Trustworthy Data Analysis, Roger Peng gives an elegant description of how he evaluates analytics presentations, and what factors influence his trust level. First, he imagines analytical work in three buckets: A (the material presented), B (work done but not presented), and C (analytical work not done). “We can...
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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.

Recent Articles

person in silhouette with orange background, pondering AI input for an evidence based decision
9 May 2023
Can you trust AI with your next decision? Part 3 in a series on fact-checking/citation
image generated by bing image creator bottle on apothecary shelf
25 April 2023
How is generative AI referencing sources? Part 2 in our series
15 March 2023
Can AI replace your CEO?
reference to Google's Bard AI and Microsoft's Bing AI compared to conflict at Sopranos Bada Bing
28 February 2023
What’s state-of-the-art when an AI cites sources of evidence? Part 1 in our series
finger pointing
19 August 2021
How to blame a robot for mistakes: Do your finger pointing properly.