The Museum of AI Artifact Collection captures foundational concepts, memories, capabilities, and limitations of artificial intelligence technology. Museum experiences begin with an artifact viewing and discussion in our lobby.
Have an AI innovation you’d like represented here? View our quick guide or reach out to frontdesk@museumof.ai
Artifact no. 14992
“Blood pressure x AI”
by ASAPP (2021; measurement device)
Artifact no. 249
“Playwright Logic Machine”
by Douglas T. Ross (1960; software algorithm)
Artifact no. 14840
“Toronto is a US city!!?”
by Museum of AI (2019; illustration)
Artifact no. 14675
“Love is like a foot on the beach”
by Bot Poets Society (2021; AI-generated poem)
Artifact no. 4471
“Explainable AI poster”
by Museum of AI (2019; illustration)
Artifact no. 14830
“Cookin’ with AI”
by Museum of AI (2019; graphic art)
AI Artifacts on display
Popup museum lobby
by Museum of AI (2019; immersive installation)
Showcase your innovation in the Museum of AI Collection. Each artifact is an artist-designed object representing a pivotal person, moment, or creation in the evolution of artificial intelligence. Lovingly displayed under glass and beautifully lit, along with an explanation of its provenance and impact. And included here in the online Collection, obviously 🙂
Ready to elevate your innovation to museum artifact status? Download our quick guide, and let’s get started!
Museum of AI Collection | Artifact no. ??? | “Your AI Artifact” by You (2021; resin, video etc.)
ASAPP, a New York-based tech company, develops AI-centric products for call center agents. Extensive R&D has produced satisfactory LIBRISpeech metrics, among others. But metrics can also assess the AI’s beneficial impact on actual people, such as customer satisfaction and job performance. Museum of AI likes to think this contributes to healthier blood pressure for everyone in a customer interaction, a positive trend indeed.
Museum of AI Collection | Artifact no. 14992 | Vintage Blood Pressure Cuff by D.D. Paris (1942; rubber, leather, glass, metal)
In 1960, MIT’s Douglas T. Ross created a rules-based expert system to write plots for TV plays. After seeing this one about outlaws, writers breathed a sigh of relief: The logic engine-generated plots were repetitive, and reinforced stereotypes about whiskey drinking and gun slinging.
Museum of AI Collection | Artifact no. 249 | “Playwright Logic Machine” by Douglas T. Ross (1960; software algorithm)
ANNA was built by Yann Lecun and several other researchers at Bell Labs in 1992. However, this early AI chip never reached the mass market, and was retired shortly after development. No longer computing professionally, ANNA lives quietly in comfort and style.
Museum of AI Collection | Artifact no. 2503 | “ANNA” by Bell Labs (ret. 1992; silicon, electronics)
Kristen Kehrer is founder of Data Moves Me, co-author of “Mothers of Data Science” (with Kate Strachnyi), and a 2018 LinkedIn Top Voice in Data Science & Analytics. She’s also fun to hang out with, as you can see here.
Kristen creates innovative machine learning solutions, which qualifies her as a data artist. Prior to COVID, she taught Data Science at UC Berkeley Extension. Her education includes an MS in Applied Statistics and a BS in Mathematics.
Museum of AI Collection | Artifact no. 523514 | “Data Driven” by Kristen Kehrer (2021; spoken word video)
13-Feb-2011 | Competing in Jeopardy! against Ken Jennings and Brad Rutter, IBM’s Watson AI hazarded a guess that placed Toronto, Canada in the United States. But by the third and final round, our new computer overlord won big.
Museum of AI Collection | Artifact no. 14840 | “Toronto is a US city!!?” by Museum of AI (2019; illustration)
In 1946, when Grace Hopper was released from active duty, she joined the Harvard Computation Laboratory and continued her work on the Mark II and Mark III. The following year, operators traced an error in the Mark II to a moth trapped in a relay, coining the term bug. The moth was carefully removed and taped to the log book.
Today we call errors or glitches in a software program bugs and they have been vexing humans since that milestone discovery.
Museum of AI Collection | Artifact no. 2395 | “Computer Bug #1” by Grace Hopper (1946; blood-shot-eyed moth)
Love is like a foot on the beach,
A tramp of sand through hazy days.
Day after day, for so many miles,
A bit of ash, a few grains of sand,
Until the beach grows silvery again
And the shadows lie away.
It seemed that never existed, the one thing she took for granted
It is not there. I have often seen a flicker of dust
Dream of one day carried away.
The only world Love knows
Is a slow expanse of dreams.
Love is a whisper gone astray—
That one whose light is far away. At times, when she turns and searches
The grand room for the one thing
more at https://bot-poets-society.itch.io/ …
Copyright Bot Poets Society. Follow them on Medium: “We create poems combining AI models, fine-tuned for poetry. We choose to do no editing at all to the generated poetry.”
Museum of AI Collection | Artifact no. 14675 | “Love is like a foot on the beach” by Bot Poets Society (2021; interactive fiction)
Recent research evidence shows that today’s algorithms can generate results that are biased or otherwise harmful.* This artifact refers to AI that informs important decisions about hiring, criminal justice, and social programs.
Explainable AI is one effort to gain transparency into algorithmic black boxes, asking developers to explain how models are trained, how data are employed, how decision factors are weighed, and how predictions are communicated to human decision makers.
*Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy by Cathy O’Neil
Museum of AI Collection | Artifact no. 4471 | “Explainable AI poster” by Museum of AI (2019; illustration)
Promotional poster for Cookin’ with AI, the Museum of AI’s immersive experience at ODSC 2019, the Open Data Science conference in San Francisco, California. Visitors worked with Ginny, TV star, and Bernie, Cookin’ with AI producer, applying AI to improve chocolate chip cookie recipes and select an AI/virtual host for the show.
Museum of AI Collection | Artifact no. 14830 | “Cookin’ with AI” by Museum of AI (2019; graphic art)
Final two stones used in the championship Go match between AlphaGo and Lee Sedol. The game, also known as the Google DeepMind Challenge Match, was a five-game Go match between 18-time world champion Lee Sedol and AlphaGo, a computer software program developed by Google DeepMind, and played in Seoul, South Korea between 9 and 15 March 2016. AlphaGo won all but the fourth game.
The black stone is made from slate nachiguro mined in Wakayama prefecture, Japan. The white stone is from a clam called hamaguri.
Museum of AI Collection | Artifact no. 1404 | “Go Stones” by Kiseido (2016; clam & slate)
AI Artifacts displayed in a popup museum lobby at ODSC 2019, the Open Data Science conference in San Francisco, California. This Museum of AI lobby accompanied Cookin’ with AI, an immersive experience created by MoAI.
The AI artifacts are on permanent display in the museum’s online Collection.
Nominate your AI innovation for artifact status: Download our quick guide, and let’s get started.
