AI Research Directory, 2020 - present
Christiane Paul
Exhibitions
Artificial Intelligence – Ars Electronica Festival 2017 Ars Electronica, Linz, Austria (September 7-11, 2017);
Artificial Intelligence - The Other I / Gerfried Stocker - YouTube Ars Electronica, Linz, Austria, (September 7-11, 2017) (Video published April 6th, 2017)
The Policeman´s Beard is Half Constructed: Art in the Age of Artificial Intelligence, Bonner Kunstverein, Bonn, Germany (September 22 – November 19, 2017)
Paradox: Art in the Age of AI Carnegie Mellon University School of Art, Miller ICA, Purnell Center for the Arts, Pittsburgh, USA (October 4, 2018-February 3, 2019)
Forging the Gods ::: Curated by Julia Kaganskiy | TRANSFER Transfer Gallery, New York, United States (April 18 -May 11, 2019) (Hyperallergic review: Artificial Intelligence as a Godlike Tool for Experimentation)
HeK - Entangled Realities – Living with Artificial Intelligence House of Electronic Arts Basel, Münchenstein, Switzerland (May 9 – August 11, 2019) (Sabine Himmelsbach interview, Medium)
AI: More than Human | Barbican Barbican, London, England (May 16 — Aug 26 2019)
ART-AI Festival Art-AI Festival, Leicester, England (May 16-31, 2019)
Uncanny Values. Artificial Intelligence & You, curated by Marlies Wirth and Paul Feigelfeld, Vienna Biennale for Change 2019, MAK-Museum of Applied Arts, Vienna (May 29 - October 6, 2019)
Training Humans, curated by Kate Crawford and Trevor Paglen, Fondazione Prada, Milan (September 12 2019 - February 24, 2020)
AS-Helix: The Integration of Art and Science in the Age of Artificial Intelligence, National Museum of China, Beijing, China (November 2019)
Manual Override The Shed, New York, USA (November 13, 2019- January 12, 2020)
In Real Life, curated by Natasha Egan, Museum of Contemporary Photography, Chicago (January 16 - March 22, 2020)
GANland, DAM Gallery, Berlin (February 1 - March 31, 2020)
The Question of Intelligence, curated by Christiane Paul, Sheila C. Johnson Design Center, The New School (February 7 - April 8, 2020)
Uncanny Valley: Being Human in the Age of AI, curated by Claudia Schmuckli, de Young museum, San Francisco (February 22 - October 25, 2020)
Talks: Benjamin Bratton, The Inverse Uncanny Valley: What We See When AI Sees Us
Twilight of the Idols — Art and AI as Aesthetic Discourse in the Age of Trans- and Posthumanism, curated by Berkan Karpat, Dr. Cornelia Oßwald-Hoffmann , Rainer Ludwig, Haus der Kunst, Munique (September 24 - October 1, 2020)
ZKM, The Intelligent Museum (2020 - 2024)
Ian Cheng, Life after Bob, The Shed, NYC (September 10 - December 19, 2021)
Deep Fakes - Art and its Double, EPFL Pavilions, Lausanne, Switzerland (September 17, 2021 - February 6, 2022)
AI, Ethics and Health, Science Gallery London (open call closed)
Deepfakes: Unstable Evidence on Screen, Museum of the Moving Image, NYC (December 18, 2021 - May 15, 2022), Hyperallergic Review
Projects
ZKM, The Intelligent Museum (2020 - 2024)
2022
Zach Blas, 576 Tears
2023
Christopher Manzione, A Universe Within Itself
Conferences
The Rise of A.I. and Machine Learning – NYU Center for Data Science Association for Computing Machinery, New York, USA (December 8, 2016)
Future Labs AI Summit 2017 NYU/Future Labs, New York, USA (October 30-31, 2017)
MoMA R&D | Salon 24: AI - Artificial Imperfection Moma, New York, USA (April 3rd, 2018)
Symposium - Paradox: Frames and Biases in Art and AI on Vimeo Miller ICA, Carnegie Mellon University, Pittsburgh, USA (January 28, 2019)
The Work of Art in the Age of Artificial Intelligence :: DISK Agency Art Laboratory Berlin/CTM, Berlin, Germany (March 13, 2019)
An[0]ther {AI} in Art Summit New Museum, New York, USA (April 24th - April 27th, 2019)
Kunst und Künstliche Intelligenz ZKM Center for Art and Media, Karlsruhe, Germany (May 18-19, 2019)
Is AI the Future of Art? National Arts Club, New York, USA (May 30, 2019)
AI Traps - Automating Discrimination Kunstquartier Disruption Network Lab, Berlin, Germany (June 14-15, 2019)
Christie's Art + Tech Summit: AI Revolution Christie's, New York, USA (June 25, 2019)
Readings
Books
James Bridle, Animals, Plants, Machines: The Search for a Planetary Intelligence, Macmillan, 2022
[Directories]
An open P2P Resource for AI technology (Marc Garrett)
[Documentaries]
The History of Artificial Intelligence
Aesthetics
Aesthetics of AI Entanglements - Serpentine Reader
Art
The Work of Art in the Age of Artificial Intelligence
Predicting Mark Rothko Auction Prices with AI - Artsy
The first piece of AI-generated art to come to auction | Christie's
American Artist’s Ally AI Is a Satirical Siri to Check White People’s Biases - Artsy
Harold Cohen and AARON—A 40-Year Collaboration | @CHM Blog | Computer History Museum
Harold Cohen, A Pioneer of Computer Art - NY Times
AI Evolved Creepy Images to Please a Monkey Brain - The Atlantic
Seeing, Naming, Knowing – The Brooklyn Rail
Using Neural Networks to Create Paintings - Medium
AI and Documentary: Defining Our Terms - Medium
Casey Reas Interview - Studio International
Memo Akten Interview - Clash Music
Gabriel Pereira and Bruno Moreschi, Ways of Seeing with Computer Vision: Artificial Intelligence and Institutional Critique - MediArXiv
AI, Arts & Design - Artnodes issue 26
The Firewall Next Time: Belief, Power, and AI - Flash Art
Why Do AI-Generated Portraits Fail at Realism? - Hyperallergic
Amelia Winger-Bearskin - Medium
Sarah Cascone, ‘They Are About Capturing the Process of Merging’: How Artist WangShui Collaborated With A.I. to Make Paintings for the Whitney Biennial - Artnet News
Bias
The Algorithms Aren’t Biased, We Are – MIT MEDIA LAB – Medium
This Is How A.I. Bias Really Happens — and Why It’s so Hard to Fix
American Artist’s Ally AI Is a Satirical Siri to Check White People’s Biases - Artsy
With Great Power Comes Great Responsibility
Seeing, Naming, Knowing – The Brooklyn Rail
Never Mind Killer Robots—Here Are 6 Real A.I. Dangers to Watch Out for in 2019
Amazon Is Pushing Facial Technology That a Study Says Could Be Biased NY Times
How Racial Bias in Tech Has Developed the “New Jim Code" - Hyperallergic
Behind the Paper That Led to a Google Researcher’s Firing - Wired
Who is Making Sure the A.I. Machines Aren't Racist - NY Times
Designing AI: The Feminist Way - Libre AI
Coding
Building a Simple Chatbot from Scratch in Python (using NLTK)
A Guide to Decision Trees for Machine Learning and Data Science
Every single Machine Learning course on the internet, ranked by your reviews
To all Data Scientists — The one Graph Algorithm you need to know
Understanding the Difference Between Symbolic and Non-Symbolic AI - Analytics India Mag
Colonialism
Covid
A.I. Versus the Coronavirus - NY Times
How A.I. Steered Doctors Toward a Possible Coronavirus Treatment - NY Times
Dangers
Never Mind Killer Robots—Here Are 6 Real A.I. Dangers to Watch Out for in 2019
With Great Power Comes Great Responsibility
Why You Shouldn’t Fear The AI Takeover – Data Driven Investor – Medium
Fears of OpenAI’s super-trolling artificial intelligence are overblown - New Scientist
Creating AI can be five times worse for the planet than a car - New Scientist
The Threat of Google's DeepMind - Medium
How We Might Protect Ourselves from Malicious AI - MIT Technology Review
Is it Time to Panic About American Ignorance of Deep Learning - Medium
Cade Metz, ‘The Godfather of A.I.’ Leaves Google and Warns of Danger Ahead - The New York Times
Deepfakes
Is that video real? - CNN
Photos of Amelia Earhart, Marie Curie and others come alive (creepily), thanks to AI
(MyHeritage) - Life Science
Ecology
Ethics
With Great Power Comes Great Responsibility
Why You Shouldn’t Fear The AI Takeover – Data Driven Investor – Medium
The Museums + AI Network – Developing the conversation around AI, ethics and museums.
An introduction to explainable AI, and why we need it
This Company Is Betting the Future Is Personal AI Avatars, So It Made Me One
Seeing, Naming, Knowing – The Brooklyn Rail
Never Mind Killer Robots—Here Are 6 Real A.I. Dangers to Watch Out for in 2019
Film
William Uricchio, AI and Documentary: Defining Our Terms - Medium
Future (Predictions)
America May Outsmart China in 5G With AI and Blockchains
Why You Shouldn’t Fear The AI Takeover – Data Driven Investor – Medium
Why Robots Will Never Take Over the World – Member Feature Stories – Medium
Never Mind Killer Robots—Here Are 6 Real A.I. Dangers to Watch Out for in 2019
In Ten Years: The Future of AI and ML – Foursquare – Medium
Will an A.I. Ever Become Sentient? – Predict – Medium
This Company Is Betting the Future Is Personal AI Avatars, So It Made Me One
Here Are 27 Expert Predictions on How You’ll Live With Artificial Intelligence in the Near Future
GANs
GAN — Ways to improve GAN performance – Towards Data Science
Comprehensive Introduction to Turing Learning and GANs: Part 1
GANs and NFTs — Brian Droitcour, Art in America
General
AI Knowledge Map: how to classify AI technologies – Francesco Corea – Medium
2018 in Review: 10 AI Failures – SyncedReview – Medium
Every single Machine Learning course on the internet, ranked by your reviews
AI Evolved Creepy Images to Please a Monkey Brain - The Atlantic
America May Outsmart China in 5G With AI and Blockchains
Five Machine Learning Paradoxes that will Change the Way You Think About Data
Distributed Artificial Intelligence – Francesco Corea – Medium
Symbolic AI v/s Non-Symbolic AI, and everything in between?
To all Data Scientists — The one Graph Algorithm you need to know
Top 10 roles in AI and data science – Hacker Noon
Machine Learning for Humans, Part 5: Reinforcement Learning
On the Potential & Limits of AI — The Facts Beneath the Hype
No, Machine Learning is not just glorified Statistics
Microsoft's Artificial Intelligence creates realistic speech with little training - Medium
Machines and Media Episode 1: AI & Emerging Trends in Media Technology - NYC Media Lab
Future Art Ecosystems (Serpentine Galleries)
AI.. Here, There , Everywhere, - The New York Times
Why Machines Will Never Feel Empathy: A Q&A With MIT’s Sherry Turkle - OneZero
Eleni Nisioti, 2021 in Review: What Just Happened in the World of Artificial Intelligence? - Medium
GPT
Fawad Ali, GPT-1 to GPT-4: Each of OpenAI's GPT Models Explained and Compared - Makeusof.com
Aahtish Bathia, Watch an A.I. Learn to Write by Reading Nothing But - The New York Times
History
A Brief History of Artificial Intelligence
Going Deeper: A History of Idea in AI Research
Knowledge
The Nooscope Manifested: AI as Instrument of Knowledge Extractivism
Labor
Why You Shouldn’t Fear The AI Takeover – Data Driven Investor – Medium
A Machine May not Take Your Job but One Could Become Your Boss - NY Times
Hyperemployment — Post-work, Online Labour and Automation - NERO and Aksioma
Law
Frank Pasquale, Gianclaudio Malgieri, If You Don’t Trust A.I. Yet, You’re Not Wrong - NY Times
MIT Technology Review, 5 Big Takeaways from Europe's AI Act
The White House, Blue Print for an AI BIll of Rights
Ezra Klein, The Surprising Thing A.I. Engineers Will Tell You if You Let Them - NY Times (evaluation of US / EU proposals)
Algorithmic Impact Assessment Tool - Government of Canada
Literature / Text
Nathan Allen Jones, Looking for the Pre-Emergent Social Consciousness of AI in Small Data Literary Synthesis
Vlad Alex, DALL·E by OpenAI: Creating Images from Text - towards data science
Steven Johnson, AI Is Mastering Language. Should We Trust What It Says? - NY Times
Emily Bender, On NYT Magazine on AI: Resist the Urge to Be Impressed
Mark Amerika Presents, AI Issue on Outland
Patrick Lichty, Artificial Art in the Contemporary, A Conversation Between Patrick Lichty and GPT3
Museums
The Museums + AI Network – Developing the conversation around AI, ethics and museums.
IRIS+ Part One: Designing + Coding a Museum AI
IRIS+ Part Two: How to Embed a Museum’s Personality and Values in AI
MET / MIT / Microsoft Collaboration
Gabriel Pereira, Bruno Moreschi, Ways of Seeing with Computer Vision: Artificial Intelligence and Institutional Critique
Harold Cohen and AARON—A 40-Year Collaboration | @CHM Blog | Computer History Museum
Rembrandt’s Damaged Masterpiece Is Whole Again, With A.I.’s Help - NY Times
How Can AI Have A Bigger Impact Within Cultural Institutions? - Jing Culture and Commerce
Politics
Excavating AI - The Politics of Images in Machine Learning Training Sets (Kate Crawford and Trevor Paglen)
America May Outsmart China in 5G With AI and Blockchains
Why You Shouldn’t Fear The AI Takeover – Data Driven Investor – Medium
Never Mind Killer Robots—Here Are 6 Real A.I. Dangers to Watch Out for in 2019
Hito Steyerl, A Sea of Data: Apophenia and Pattern (Mis-)Recognition, e-flux
Labs
The Art and Artificial Intelligence Laboratory at Rutgers
Creative AI Lab, Serpentine R&D, King's College [database]
Podcasts
K Allado McDowell, Deepfake Auto-Fiction, Informer
The Ezra Klein Show, Inside the Minds of Spiders, Octopuses and Artificial Intelligence
AI: A Cognitive Scientist's Warning, with John Vervaeke, Ryan Barker and Eric Foster