Kate Crawford: AI Ethics Research by AI Now Institute

Kate Crawford: AI’s Leading Ethics Scholar Key Concepts in Kate Crawford's AI Ethics Research AI Ethics The study of moral issues and societal impacts in artificial intelligence development and deployment. As defined by AI Now Institute, it encompasses algorithmic bias, privacy concerns, and social justice in AI systems. Learn more about AI Ethics → ... https://lnkd.in/dVygtGth #AIaccountability #AIbias #AIdevelopers #AIDevelopment #AIenvironmentalimpact #AIEthics #AIgovernance #AIinfrastructure #AIlaborpractices #AINowInstitute #AIpolicy #AIregulation #AIResearch #AIsocialimpact #AItransparency #algorithmicbias #ArtificialIntelligence #AtlasofAI #datadiscrimination #dataethics #dataprivacy #datascience #DigitalRights #digitalrightsadvocates #EthicalAI #ethicsscholars #KateCrawford #machinelearningethics #MicrosoftResearch #NewYorkAIresearch #policymakers #researchers #ResponsibleAI #students #surveillancetechnology #techethics #TechPolicy #techprofessionals #technologyethics #TechnologyResearch #USCAnnenbergAIstudies #AIImageArt

New paper out together with Jason Branford in Springer Nature's journal 'Philosophy and Technology'. In the paper, we propose an initial, relational ethics approach to epistemic inclusion in the development and application of medical decision support systems. We had been inspired by scholars such as Abeba Birhane and Jan-Christoph Heilinger who criticize current principle-based AI ethics to adopt a relational ethics approach. The notion of epistemic oppression/exclusion (Kristie Dotson) as well as a structural lens as per Iris Marion Young factors in, as well. This one started out as a workshop contribution for the "Relational Ethics in Technological Societies Workshop" at ETH Zürich organized by Margarita Boenig-Liptsin, Kebene Wodajo and Karen Huang. Since then, the material evolved into a beautiful collaboration with Jason, which made the final manuscript so much better, I believe. https://lnkd.in/dAC-K5JA

UNESCO Releases New Report on AI Ethics and Global Impact UNESCO published an updated report on artificial intelligence ethics, examining its effects on peace, development, and human rights. The document stresses the need for international cooperation to ensure AI technologies benefit societies worldwide while minimizing risks. The release coincided with ongoing global consultations on responsible AI governance.

⭐ We’re excited to announce the launch of Cambridge Elements in AI Ethics and Society! Elements are short books (20,000-30,000 words), fully peer-reviewed but with a fast turnaround and good online and open options access. We are now accepting proposals! We are open to a wide range of methods, approaches and topics, as long as the work is making a significant and original contribution to the study of AI ethics, governance or social impact. Topics of interest include: -The social impact of AI in important sectors such as health and defence; -Insights from particular methodological approaches such as Confucianism and design theory; -Explanations of key topics such as fairness and explainability. Series Editors: Professor Stephen Cave (Cambridge) and Dr Kerry McInerney (Auckland). For more information, and to download a proposal form, follow this link: https://lnkd.in/e9z3eYU4

How can we address algorithmic justice when we are faced with unreliable and malicious governments? My new article "Algorithmic Justice vs. State Power" confronts this question, now out in the Montreal AI Ethics Institute State of AI Ethics Report Volume 7. Read here: https://lnkd.in/eAYA3SuC If you're looking for a wide-lens snapshot of the current state of AI ethics, the whole volume is worth a read! I'm very happy for my work to appear alongside great pieces on AI governance, social justice, & community control by Jess Reia 何���茜, Ana Brandusescu, Renee Sieber, Jonathan van Geuns, and many others. Thank you to Renjie B., Ismael Kherroubi García, FRSA, and Connor Wright for inviting me to contribute this piece and all of your hard work getting this volume together!

Powerful contribution from Blair Attard-Frost, PhD on the tension between algorithmic justice and state power — a question that defines the next frontier of AI governance. In “Algorithmic Justice vs. State Power”, Blair challenges us to consider how we can meaningfully advance fairness, accountability, and transparency when public institutions themselves may act unreliably or even maliciously. This piece, featured in the Montreal AI Ethics Institute���s State of AI Ethics Report (Vol. 7), is essential reading for anyone shaping the future of ethical AI, digital rights, and civic participation. 📖 Read Blair’s full article here: https://lnkd.in/eAYA3SuC 👏 Congratulations to Blair and all the contributing authors — Jess Reia 何杰茜, Ana Brandusescu, Renee Sieber, Jonathan van Geuns, and others — for advancing this critical global conversation on AI governance, social justice, and community control. #AIethics #AlgorithmicJustice #AIGovernance #EthicalAI #DigitalRights #ResponsibleAI

"Though there is promise in re-focusing AI design and governance on smaller scales of collective action, power asymmetries between communities and industry-state alliances are significant. Achieving algorithmic justice against a backdrop of state-sponsored injustice will require coalitions that are polycentric, flexible, durable, and multifarious."

Just attended the "Publishing with Purpose: Research Integrity & Ethics" webinar by Wiley, a really insightful session for anyone starting their research journey. Here are a few key takeaways that stood out to me: Generative AI can be useful for ideas or overcoming writer’s block, but it must be used ethically. It’s not a substitute for human writing, and its use should always be disclosed. Plagiarism is completely unethical and undermines the credibility of research. Authorship matters, only those who played a substantial, accountable role in the research should be listed as authors. Others can be acknowledged as contributors (with consent). Conflicts of interest should always be disclosed clearly and factually — transparency builds trust. Ethical peer review is the foundation of strong research publishing; it helps improve articles before they reach readers. Grateful for this session, it truly emphasized that integrity is just as important as innovation in research. 

How can research ethics keep up with the rapidly evolving use of AI-generated medical data? The CHEO Research Institute and CHEO Research Ethics Board are helping define that future. Interviewed for Nature Magazine news, Cécile Bensimon and Khaled El Emam share CHEO’s approach as an early adopter to consider an REB review exemption for certain research that is exclusively using synthetic data.   This approach promises to accelerate research while still protecting individuals’ privacy. Studies that involve accessing real patient data to generate synthetic datasets still require ethics approval, but in cases where synthetic data doesn’t constitute personal health information, this will enable faster collaboration across institutions and jurisdictions. 🔗 Learn how the CHEO RI joins the University of Ottawa and sites in Italy and the United States as a global innovator in the use of AI and synthetic data in research: https://lnkd.in/emTVhYuF Jason Berman, University of Ottawa, Ottawa Medical AI Research Institute / Institut de recherche en IA médicale d'Ottawa, uOttawa | Innovation #CHEOresearch #AIMedicalData #ResearchEthics