People want recommendations from human experts, but “just the facts” from AI

We are still figuring out how best to interact with AI systems, and how we want them to behave towards us.

A study addressing that question just came out: “Autonomy or Guidance: What Users Want from AI versus Human Advisors” by Yasmin Wiesenfeld and Oded Nov.

The researchers assessed human preferences for how much guidance versus autonomy they want when getting advice about health and finance, from a human expert vs. an AI system. They found that people prefer “complete agency” (just give me the options) from an AI but “guided agency” (give me options plus your recommendation) from a human, “suggesting that people assign different normative roles to AI and human experts.”

Having different preferences makes sense if you have a different mental model of the expertise, reliability, and capabilities of different conversation partners. This deviation suggests that there persists a gap in how people view generative AI chatbot capabilities, compared to a human expert.

This paragraph in the Discussion adds an extra twist (and concern):

However, research suggests that when AI systems are anthropomorphized, this trust gap is reduced: although users are significantly more likely to follow advice from a human (e.g., romantic partner) than AI, this difference is nearly eliminated when the AI is anthropomorphized [19]. This suggests that perceptions of AI’s role as an advisor may be malleable through design choices that emphasize human-like qualities, even if they do not affect the level of user autonomy.

Without a doubt, generative AI creators already knew and have been exploiting this tendency. The original GPT language model could have been released as just a language model, which researchers would have continued using to analyze and process language. Instead, the choice was made to personify the model by making it into a chatbot that uses the pronoun “I”.

And finally, I found this bit very intriguing:

However, the findings also raise a normative question: should AI systems reflect users’ stated preferences (what people claim to want in hypothetical scenarios), or their revealed preferences (what they choose in practice)? Despite overwhelming preference for agency-preserving designs in this study, many people continue to employ agentic AI systems that make decisions for them.

We will probably never crack the mystery of “why do people do things at odds with what they say they want?” — but some of that is what makes us interesting personalities ourselves. Still, for AI system designers, this is an important point to reflect on, since choices have to be made to enable the creation of any system in the real world.

Electrical Engineering for Everyone

I came across this great course (Electrical Engineering for Everyone), taught by Dr. Laura J. Bottomley (NCSU) and offered through the Great Courses (which I am accessing through the Kanopy app – your library card may provide it to you free!).

I’ve only watched the first lecture so far, but it was surprisingly riveting. It is aimed at folks who aren’t necessarily aiming to get a degree in Electrical Engineering, but who want to learn more about how electricity (and electronics) enable so much of our modern lives.

One of my favorite aspects is how Dr. Bottomley stands in front of all her cool gadgets and then demonstrates them. They included a lightbulb, a cute little Tesla coil and fluorescent lights (although I was a little disappointed that she didn’t say anything about how the Tesla coil worked, just that it creates an electromagnetic field), solar cells (which were first invented (but not very efficient) in the 1880s!), and a simple circuit with an LED.

She identified four major advancements in electrical engineering: the ability to generate and transmit electricity through wires, then wirelessly, then electronics (computers) / photonics, then “intelligent applications” (artificial intelligence).

She also talked about six “habits of mind” that engineers are supposed to have: communication, creativity, collaboration, systems thinking, ethics, and optimism (learning from failure). I had not previously encountered these habits of mind. They all seem pretty relevant and reasonable, but I was intrigued by “optimism” making the list!

She also touched on a lot of interesting bits of history, including Thomas Edison, who invented the lightbulb, but his filaments only lasted a few days. His contemporary Lewis Latimer (a new name to me) was a key contributor to making lightbulbs accessible to the masses: he extended the longevity of light bulb filaments while working for a rival company, then was later hired by Edison, and he also helped with patent applications for Alexander Graham Bell.

Maps at the Library of Congress

Today I learned about the impressive collection of maps held by the Library of Congress, which has the largest map library in the world (6 million items). These items are publicly available to anyone with a (free) Library of Congress card, and there are also a lot of digital maps available online.

The Geography and Maps Division is currently featuring key maps from the American Revolution period (to commemorate the U.S.’s 250th anniversary). These 1,470 maps include a map of Philadelphia that includes a sketch of the State House where the Continental Congress met to hash out the Declaration of Independence, a Rochambeau map of the 1776 Battle of Long Island, the first map of the United States showing them as an independent country (1783), and more.


First map of the United States as an independent country (1783)

They also have an collection of Revolution era maps made accessible to visually impaired individuals. They have created “tactile maps” that reproduce maps with raised outlines, Braille labels, and textures, as well as audio descriptions of the maps. To make these tactile maps, they first choose maps likely to translate well to this form (ideally not too complicated), identify lines and edges, add Braille labels, then add texture to shade different regions. The maps are printed with a regular printer, on special paper, then heated and the places with ink swell into ridges you can feel. Awesome!

Example of tactile map design
My screenshot of the tactile map example during the June 9 webinar

Finally, the “By the People” program at the Library of Congress, where you can volunteer to help transcribe handwritten materials, will soon be launching a project to transcribe nautical maps from the Atlantic Neptune Collection. It should show up at By the People when it opens. You can help enrich this collection!

How to disable Google search’s AI Overview for all your searches

You may know that you can disable the “AI Overview” in a Google search for a single search by including “-ai” (minus ai) in your search text. But Google doesn’t give you a way to turn it off for all searches.

However, you can configure your browser’s built-in search shortcuts to do it for you. A regular Google search is something like

https://www.google.com/search?q=text

where “text” is the text you are searching for. But if you add an extra parameter (udm=14) to this search, it disables the AI overview:

https://www.google.com/search?q=text&udm=14

You can make this version your default search shortcut in Google Chrome as follows:

  1. Open Settings.
  2. Go to Search Engine -> Manage Search Engines.
  3. Scroll down to the “Site Search” section and click “Add”.
  4. Give this search a name (like “udm14”).
  5. In the “URL with %s in place of query” box, paste this: {google:baseURL}search?q=%s&udm=14. It will look like this (mine says “Edit”; yours will say “Add”):
  6. Click “Save”.
  7. Under the three dots menu, select “Make default”.
  8. Try a search and enjoy no AI overview!

I have not yet figured out how to do this in Safari.

Licorice comes from the root of a legume

The other day, I found some “watermelon licorice” in the store and was intrigued enough to purchase it. It was a paler red than Red Vines and didn’t taste noticeably like watermelon, but it was a fun treat.

That made me wonder – what exactly IS licorice? (How can you make a watermelon version of it?)

Merriam-Webster defines licorice as:

a : the dried root of a European leguminous plant (Glycyrrhiza glabra) with pinnate leaves and spikes of blue flowers
also : an extract of this used especially in medicine, liquors, and confectionery
b : a candy flavored with licorice or a substitute (such as anise)

Licorice (the candy) is traditionally flavored/sweetened using an extract from the root of the licorice plant (glycyrrhiza glabra), which is extremely sweet and has some medicinal applications (but is toxic in high doses).

I think this means that the folks who say red licorice isn’t really “licorice” might be right – red licorice usually doesn’t include glycyrrhizin (the licorice plant extract), like its black cousin does. This watermelon licorice doesn’t, either – and its first ingredient is corn syrup. It also contains no watermelon. :)

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