🚨!!Out today in @Science!!🚨 In a massive interdisciplinary collaboration between 14 researchers across institutions, we rectify misconceptions and offer key research directions to inform policy and beneficial uses of generative AI. Thread below: https://t.co/tQ79ixOVFG

Academic job market post! 👀 I’m a CS Postdoc at Stanford in the @StanfordHCI group. I develop ways to improve the online information ecosystem, by designing better social media feeds & improving Wikipedia. I work on AI, Social Computing, and HCI. https://t.co/703Fxe3MdC 🧵

Social media algorithms shape our reality by deciding what's relevant. Independent studies are crucial, but hard without platform cooperation. We've put together practical recommendations for reranking feeds using web extensions. Source code coming soon! https://t.co/LM0rNMK1Ie📄

Our good friend @FarnazJ_ is going off to @UMichCSE as an Assistant Professor! We are so lucky to have been able to share time with Farnaz-- she is a brilliant and talented researcher, a fun and empathetic friend, and overall great person to be around ❤️ We will miss her dearly!

AI drawing to photo, a mode of the "Conceptual Camera" developed as part of my artist residency at @openai The ideas represented in the sketch, even abstractly, are transformed into an artwork.

truly one of the GOATs. this podcast blew my mind and led me down a path of being a Hilma fanatic @AmysImaginarium @Schropes

give each pixel a random Pokemon type, and then battle pixels against their neighbors, updating each pixel with the winning type (using the Pokemon type chart) we quickly see areas of fire > water > grass > fire, electric sweeping over, ground frontiers taking over etc etc

Check out our recent research article from @FluidInterfaces in @NatMachIntell that explores the "placebo effect" of AI and why we're starting to see conversational AI as companions rather than just assistants! https://t.co/JA5OIPBXOO #GenerativeAI #HCI #ChatGPT

DALLE, explain the AGI race like I’m 5 years old:

Getting ready to present my research this morning at @IC2S2 at 11:15!🤓✨@iggiphd

Excited to present a lightning talk on measuring attention on social media at #IC2S2 at 10:15 today in Copenhagen!💡 Link to paper: https://t.co/NlTALyfN5S I'll be handing out dissertation zines outlining this work (among others) today @ic2s2 if you wanna grab one come say hi!

This paper grew out of discussions at @iccc_conf , following @aaronhertzmann's keynote. Thanks to great coauthors @AaronHertzmann @lauramherman_ @RobertMahari @mrfrank5790 @groh @schropes @AmysImaginarium @memotv @JessicaFjeld Hany Farid Neil Leach @alex_pentland @AmysImaginarium

Finding consensus across so many perspectives & positions was and remains an exciting challenge. It's just the tip of the iceberg and we hope it fosters generative discussion on the real harms of generative AI, the perils of agentifying AI, & the role of industry in shaping AI.

You can also check out our website with more info on press and the team https://t.co/qFqZAIDFQ1

We expanded and fleshed out the ideas from the Perspective in a 23-page white paper, which you can read on arXiv: https://t.co/e3PxEMIqAi

New possibilities for photorealistic synthetic media may undermine trust in authentically captured media through the “liar’s dividend” and prompts research into the role of platform interventions like tracking source provenance and detecting synthetic media downstream.

The Impacts on the Media Ecosystem section, lead by @groh and @schropes with input from Hany Farid and myself, highlights how synthetic media may make us more vulnerable to AI-generated misinformation, particularly media that provides evidence for claims.

Generative AI tools may accelerate the creative process through rapid ideation. But this acceleration may also undermine aspects of creativity by removing the initial period of experimentation associated with a blank page. In either case, production time & costs will likely fall.

The Labor Economics of the Creative Industry section, led by @mrfrank5790 with input from @alex_pentland and @AmysImaginarium highlights how new economic theory is needed to characterize the creative process and understand generative AI’s impact on creative work.

We argue that copyright law must balance benefits to creators, users, and society. Copyright laws likely will not adequately apportion ownership rights to artists whose work these systems are trained on, but may favor the end-user. We need new mechanisms to protect artists.

The Legal Dimension of Authorship section, led by @RobertMahari with supervision and contribution from @JessicaFjeld, highlights the legal and ethical challenges of generative AI’s reliance on training data to automate aspects of creation.