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Tracy Allison Altman

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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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Sneaky STEM: Inspire learning with immersive experiences

22 April 2023By
Technology touches almost everything in our lives. But schools, private companies, and public agencies still struggle to attract people to tech careers. STEM (science, technology, engineering, mathematics) education has become a focus of numerous educational and outreach programs. In this post, we explain how Museum of AI reinforces learning STEM and associated technical topics ~...
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Can AI replace your CEO?

15 March 2023By
The Hustle recently asked Should we automate the CEO? And the question isn’t facetious: Instead Zachary Crockett walks us through data showing many CEOs earn ~300X the pay of an average worker, and more than a few run underperforming companies. ” Tasks ripe for automation include reviewing forecasts and sending emails; some experts believe 40%...
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reference to Google's Bard AI and Microsoft's Bing AI compared to conflict at Sopranos Bada Bing

What’s state-of-the-art when an AI cites sources of evidence? Part 1 in our series

28 February 2023By
Now that machines are answering questions and making decisions, it’s essential that people and AI get on the same page when citing evidence. What sources are considered acceptable? Where should citations be presented (inline, in conventional bibliographies, or…)? Should data/analysis be simply referenced, or transparently included in supporting data sets? Here we look at state-of-the-art...
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DALL-E image of robot head 800x450 29sep22

Can AI fake reality?

30 September 2022By
Text-to-image, text-to-video technologies rock the world Generated by Craiyon, 29-sept-2022 AI models are now capable of generating impressive images (pseudo photos) and videos from text inputs. It’s a big deal. But before we get into that, I’m pleased to say that Museum of AI is targeting a late 2022 opening of its first bricks-and-mortar location,...
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finger pointing

How to blame a robot for mistakes: Do your finger pointing properly.

19 August 2021By
People and artificial intelligence work together, sometimes quite nicely, on insurance underwriting, medical diagnosis, customer experience. (Plus autonomous vehicles, until some dude crashes his Tesla.) This is the Human+AI hybrid we often talk about at Museum of AI. Humans have varying levels of awareness, input, or control over an AI system. Evidence suggests these factors...
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action->outcome in PepperSlice

Guide: Promoting Evidence-Based Insights

10 February 2018By
Ugly Research offers a new guide, Promoting Evidence-Based Insights. Practical tips for presenting content with four essential characteristics: Top-line, evidence-based, bite-size, and reusable. Communicate quickly and powerfully by demonstrating value to decision makers. Show how A → B. So people don’t think tl;dr or MEGO (My Eyes Glaze Over), be sure to emphasize insights that...
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data visualization of crime statistics using Tableau

But where is the decision? Data visualizations don’t show the why and how.

29 January 2018By
Technology helps us discover meaningful patterns: Buying behavior, criminal activity, health effects. But when we succumb to pretty pictures and mindless measurement, shiny data fails to help answer important questions. Source: Tableau. This data visualization tool would be great for someone seeking crime stats – say, for law enforcement or house buying. But it doesn’t...
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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
22 April 2023
Sneaky STEM: Inspire learning with immersive experiences
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