[ U N R U G G A B L E S U B N A M E S ] #AGIFirst Pioneering Safe AGI Technologies : Web3 AGI X Formal Verification = Provably Safe #AGI (Research Phase) AGI.Eth: World's Most Coveted AGI Web3 Asset . . . YourName.AGI.Eth Mint : 0.06 Eth #ENS #ensdomains #NameWrapper
ETHICS
-

Gratitude to AppyPie and Top 10 AI Innovation Leaders Recognition
By
–
Much gratitude, @AppyPieInc ! Congrats to all! #ArtificialIntelligence #KOL #Innovation #Technology #IoT #5G #AIEthics 1. @KirkDBorne 2. @Ronald_vanLoon 3. @erikbryn 4. @antgrasso 5. @Nicochan33 6. @HaroldSinnott 7. @mvollmer1 8. @marcusborba 9. @YuHelenYu 10. @bamitav
-
Runway Research Addresses Stereotypical Biases in Text-to-Image AI
By
–
Runway Research is proud to share its latest paper, Mitigating Stereotypical Biases in Text to Image Generative Systems. This work is an important step towards better representation for all people. Read the paper and access our open sourced prompts:
-

Responsible AI and AI Governance: Ethics Expert Insights
By
–
What is Responsible AI and AI governance…
— Louis-François Bouchard 🎥🤖 (@Whats_AI) 10 octobre 2023
In this short clip of our episode with Auxane Boch, AI ethics expert, she covers the difference and why are they important.#ai #aiethics #responsibleai pic.twitter.com/6BqvTME5sfWhat is Responsible AI and AI governance… In this short clip of our episode with Auxane Boch, AI ethics expert, she covers the difference and why are they important. #ai #aiethics #responsibleai
-
Women Breakthrough Award 2023 Laureates Leading Science Innovation
By
–
Join us to celebrate the Women Breakthrough Award 2023 Laureates, who are leading the way in science and equality. Their work inspires us all to strive for a more inclusive and innovative future https://
bit.ly/46kHlF9 https://
bit.ly/3ZVF9Sc -

Minister Suzuki Recognizes GPAI as G7 Hiroshima Process Collaborator
By
–
Minister Suzuki Junji mentions @GPAI_PMIA as a collaborator in the response to the G7 Hiroshima Process initiative to address advanced AI challenges! Proud of our work at #GPAIMEG delivering solutions around all areas mandated by the G7 #UNIGF23 @UN
-
ACCEPT-AI Framework Addresses Age-Related Algorithmic Bias
By
–
It's important to have a clear distinction between pediatric health care data and adult data. To address what researchers call "age-related algorithmic bias,” a new framework called ACCEPT-AI calls for age transparency. https://
stanford.io/3RQ0rOS -
Study Questions LLM Trustworthiness for Critical Tasks
By
–
Large language models present powerful capabilities, but a new study suggests they are not trustworthy enough for critical tasks. “Under the hood, these are machine learning models with vulnerabilities," says HAI faculty affiliate @sanmikoyejo
. -

DEF CON Hackers Launch Attacks on Generative AI Models
By
–
Legions of DEF CON hackers will attack generative AI models https://
bit.ly/3Luys3h #AI #MachineLearning #DeepLearning #LLMs #DataScience -
AI Safety and Equity in US Hospital Systems
By
–
AI-powered models are now being used in hospitals across the United States, yet there's no system to ensure these uses are safe and equitable. How can we change that? Stanford researchers say there’s no need to reinvent the wheel:
