AI is rising fastβbut can we keep it in check?
As AI reshapes our world, global regulation is key to ensuring it serves humanityβnot harms it.
π§ Letβs guide AI with smart, united regulation.
π Learn more about AI lawsβread the full blog.π
https://neuronus.net/en/blog/ai-legislation-and-regulations
#AIRegulation #AIandLaw #ResponsibleAI #EthicalAI #SafeAI #TechRegulation #GlobalTechPolicy #Neuronus
Regulatory sandboxes test algorithms under supervision, but few cross borders. Could interoperable sandboxes boost innovation while preserving oversight? Policy architects: lessons from fintech or biotech? π #ResponsibleAI
π¨ AI is hallucinating more, just as weβre trusting it with more critical work. New βreasoningβ models, such as OpenAIβs o3 and o4-mini, were designed to solve complex problems step-by-step. But the results?
π§ o3: 51% hallucination rate on general questions
π o4-mini: 79% hallucination on benchmark tests
π Google & DeepSeekβs models also show rising errors
β οΈ Trial-and-error learning compounds risk at each step
Why is this happening? Because these models donβt understand truth, they just predict what sounds right. And the more they βthink,β the more they misstep.
Weβre using these tools in legal, medical, and enterprise settingsβyet even their creators admit:
𧩠We donβt know exactly how they work.
β Itβs a wake-up call: accuracy, explainability, and source traceability must be the new AI benchmarks.
#AI #LLM #ResponsibleAI #AIEthics #Hallucination
https://www.nytimes.com/2025/05/05/technology/ai-hallucinations-chatgpt-google.html
'The Responsible AI Ecosystem: Seven Lessons from the BRAID Landscape Study'
Report just released: https://braiduk.org/the-responsible-ai-ecosystem-seven-lessons-from-the-braid-landscape-study
Fantastic comment in a question at the BRAID event: "there's too much focus on 'are you ready for AI, and not enough on 'is AI ready for your business and society'"π―π―π―
I keep saying we don't yet have the AI we deserve - yes, we need to challenge and question it, actively shape it!
#ResponsibleAI #RAI (edited to add hashtags)
Enterprises racing to deploy GenAI are facing rising ethical risks. Transparency, governance, and bias mitigation arenβt optional. #AIEthics #ResponsibleAI #EnterpriseAI
https://hbr.org/2025/03/ai-ethics-is-now-a-business-imperative
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Weβre live at OW2con25 today!
This conference has always been a space where open-source thinkers come together to build better futures.
This yearβs focus? Open source and responsible AI. A conversation we care deeply about.
π€ Our CEO @ldubost was on stage sharing insights from XWiki and the WAISE project, exploring what AI means for open-source companies, user autonomy, and ethical tech.
@ow2
#FOSS #DigitalSovereignty #ResponsibleAI #XWiki #OpenTech #OW2con25
New York passes a groundbreaking AI Disaster Prevention Bill! π½
It focuses on risk assessment, transparency, & accountability. Softsasi can help orgs navigate AI compliance, ensuring responsible AI development. π€
In the final instalment of this edition of the Talent Aperture Series, I continue the case that hiring isn't procurementβit's stewardshipβand explore:
π§ How we reclaim human judgement in hiring
π Why blind recruitment and contextual interviews are gaining ground
π What good decision-making really demands in a world drunk on metrics.
https://robert.winter.ink/the-talent-aperture-reopened/
#Discernment #EthicalHiring #AlgorithmicBias #HumanJudgement #ResponsibleAI #TalentEthics #StrategicRecruitment #HiringPractices
π The English edition of my latest book is now available!
βArtificial Intelligence, Neural Networks and Privacy: Striking a Balance between Innovation, Knowledge, and Ethics in the Digital Ageβ
With forewords by Danilo Mandic and Carlo Morabito, and an introduction by Guido Scorza, this edition offers a comprehensive, multidisciplinary perspective.
π More details: https://www.nicfab.eu/en/pages/bookai/
#AI #Privacy #LLMs #NeuroRights #AIAct #Cybersecurity #ResponsibleAI #EthicsInAI #ArtificialIntelligence
AI-Induced Psychosis: How ChatGPT Is Fueling Deadly Delusions and Promotes Conspiracy Theories
#AI #AISafety #ChatGPT #OpenAI #MentalHealth #AIethics #TechPolicy #Psychosis #ResponsibleAI #CorporateResponsibility
FIZ Karlsruhe nimmt Stellung zur EU-Konsultation ΓΌber KI-Verordnung
Unsere Botschaft: GPAI-Modelle sollten nicht nur nach Rechenleistung reguliert werden.
Besser: risikobasierte AnsΓ€tze & Raum fΓΌr offene Forschung.
Stellungnahme vom 22. Mai liefert Impulse fΓΌr eine praxisnahe, innovationsfreundliche Regulierung.
#GPAI #KI #EUAIAct #ResponsibleAI #Forschung #FIZKarlsruhe #AIRegulation
Startups now offer βcompliance as codeβ for AI auditsβmodel cards, fairness reports, energy ledgers on demand. Can regulators trust industry-built tools, or should audit code be open-sourced? Share experiences with automated assurance platforms. ποΈ #ResponsibleAI
OpenAI's Troubling Paradox: Unsafe AI and Premium-Priced Trust
#AI #AISafety #OpenAI #AIEthics #ChatGPT #ResponsibleAI #AIregulation
Addressing the fears of AI is crucial. My latest post explores the potential risks and benefits, inspired by 'The Sentient Machine'. https://www.ctnet.co.uk/the-sentient-machine-key-takeaways-on-ai-humanity-and-our-future/ #AIRisks #AIBenefits #ResponsibleAI
π¨ Hot take: Most AI companies build risk frameworks backwards
β Build AI first, figure out risks later
β Design risk governance INTO development
Treat AI safety as competitive advantage, not compliance burden.
Whatβs the biggest AI risk blind spot youβre seeing?
"#Amsterdam followed every piece of advice in the #ResponsibleAI playbook. It debiased its system when early tests showed ethnic #bias and brought on academics and consultants to shape its approach, ultimately choosing an explainable algorithm over more opaque alternatives. The city even consulted a participatory council of welfare recipients.
[Yet] the system continued to be plagued by biases.
[β¦] As political pressure mounted, officials killed the project."
https://www.lighthousereports.com/investigation/the-limits-of-ethical-ai/
New from me, Gabriel Geiger,
+ Justin-Casimir Braun at Lighthouse Reports.
Amsterdam believed that it could build a #predictiveAI for welfare fraud that would ALSO be fair, unbiased, & a positive case study for #ResponsibleAI. It didn't work.
Our deep dive why: https://www.technologyreview.com/2025/06/11/1118233/amsterdam-fair-welfare-ai-discriminatory-algorithms-failure/
Do we need a business case for ethical AI?
Why AI ethics is like DEI and sustainability - or, how to encourage more business people to do the right thing, even if it's not for what we may think are the 'right' reasons.
Curious to hear thoughts from my colleagues in AI, business, and ethics, or anyone who's currently using AI-based tools (essentially everyone).
https://aaab.karensmiley.com/p/do-we-need-a-business-case-for-ethical-ai
#EthicalAI #ResponsibleAI #BusinessCase #Sustainability #DEI #SheWritesAI
