- From: Ronald P. Reck <rreck@rrecktek.com>
- Date: Wed, 27 Nov 2019 14:06:45 -0500
- To: paoladimaio10@googlemail.com, W3C AIKR CG <public-aikr@w3.org>
+1 On Wed, 2019-11-27 at 14:18 +0800, Paola Di Maio wrote: > In relation to > https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai > > > Would this CG want to send some collective feedback to the AI > Alliance? > The essential point I want to put across them is that: > shared KR is necessary for ethics in AI > If there are no objections I ll send the following statement, feel > free to add > or comment, before Nov 30 thanks > > > > To: EU AI ALLIANCE > Greetings AI ALLIANCE > > In relation to: > https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai > > > The AI KR W3C CG, wd'd like to suggest that > > Shared explicit knowledge representation is necessary to achieve > Ethics in AI > > Although still at exploratory stage, we are doing research and > developing materials knowledge and resources to support and explain > our statement if helptul > https://www.w3.org/community/aikr/ > > We respectfully request that the AI ALLIANCE, to support AI Ethics > gives due consideration for AI KR standards, possibly open and web > based, and invite members to collaborate and participate in our CG > > Best regards > Paola Di Maio, Chair > W3C AI KR CG > > > ---------- Forwarded message --------- > From: AI Alliance <CNECT-AI-ALLIANCE@ec.europa.eu> > Date: Wed, Nov 27, 2019 at 1:55 AM > Subject: AI Alliance update - 26/11/2019 > To: <CNECT-AI-ALLIANCE@ec.europa.eu> > > > > > > > > > > 26 November 2019 > European AI Alliance Community Updates > > > > > > > > Survey on Assessment List - Ethics Guidelines for > Trustworthy AI > Submit your > feedback by the 1st of December > The Piloting > Process of the Ethics Guidelines for Trustworthy AI, is a > participatory, multi-stakeholder consultation aiming to collect > feedback for the Assessment List that the High-Level Expert Group (AI > HLEG) prepared to operationalise its Ethics Guidelines for > Trustworthy AI. Launched on the day of the first European AI > Alliance Assembly, in June 2019 this process has engaged over 700 > stakeholders and feedback was collected through 3 different tracks: > > > (i) Direct in depth interviews, the so called “deep dives”, realised > with 50 organisations representative of the various European regions, > economic sectors and fields of application; > (ii) Written feedback submitted through the registration form and > shared with the members of the European AI Alliance through the “Best > Practices” section; > (iii) Participation in the survey that allows commenting on every > single point of the Assessment List. > This feedback is being processed to be reported back to the AI HLEG > by the 1st of December. > > The members of the European AI Alliance can still participate in > > the survey by clicking on the link that best suits their profile: > > Organisations or individuals that develop AI products or systems > > Organisations or individuals that deal with AI in another capacity > > > Join the discussion > > > > > > AI-based Applications > > > > > > > > > > Marcel Isbert > 19 November 2019 > More > > > > > > > > > > > > > > > > > > > > > > > > > > > > Ethical and Just AGI for Safe AI > > > > > > > > > > lisa new > 14 November 2019 > More > > > > > > > > > > > > > > > > > > > > > > > > > > > Best > Practices > EIT Health: AI and Ethics in the Health Innovation Community > > > > An extensive survey was run by the EIT Health amongst startups and > innovators. The survey is one-to-one with the AI & Ethics guidelines. > In addition a set of case studies has been collected. All was > presented and discussed at the World Health Summit in Berlin, 27 > October 2019. An extensive report about the survey and cases and with > recommendations is available. An op-ed was published in > Science|Business. > > > > > > > > > > Read Best Practice > The "Best Practices" section of the European AI Alliance is dedicated > to the exchange of ideas, comments and documents on the > implementation of Trustworthy AI. The session seves as written > feedback to the Piloting of the Ethics Guidelines for Trustworthy AI > and their Assessment List. > Other Best Practices: > AI as Pansophic > Technology/Networks/Platforms/Machines/Systems/Algorithms > Building a More Trustworthy AI Ecosystem: Recommendations from OpenAI > HLEG Guidelines on Trustworthy AI - Implementation in Financial > Services Workshop, 28 October 2019 > Refining Technical Robustness and Safety Questions > The Problem with a "one size fits all" Assessment List > AI4Belgium Feedback Report on the "Trustworthy AI Assessment List" in > the context of the piloting Process of the Ethics Guidelines for > Trustworthy AI > BTC’s Best Practice on Ethics Guidelines for Trustworthy AI > Z-inspection: Towards a process to assess Ethical AI > Young students ask questions like these regarding AI > How to Create Trustworthy and Ethical Artificial Intelligence > AI Impact Assessment & Code of Conduct > Transparency and explainability - by OKRA Technologies > Introducing IBM's "AI Fairness 360" as a tool for implementing > Trustworthy AI > Bringing AI in line with Bosch's "Invented for Life" ethos > > > Featured Events > 26 November - AI4EU Café "Understanding the > World with AI" with Philipp Slusallek (Scientific Director of DFKI) > > > Artificial Intelligence (AI) systems that deal with reality > need to reliably make accurate decisions even in highly complex and > critical situations, in particular when human lives are at stake. > However, suitable real training data is often hard to come by, > especially for critical situations that hardly ever happen. Digital > Reality uses AI to optimize and validate other AI systems. The > approach allows to simultaneously learn models of the real world and > use them for the training of AI systems by synthetically generating > the needed sensor data via simulations. This approach also allows us > to systematically validate AI systems by automatically generating > test cases from our models that specifically address critical > aspects. Validation with real data also allows us to continuously > identify limitations in the models and adapt them to the dynamic > changes in the real world. > > Register here > 2 to 5 December - AI & Big Data for > Innovation Summit > The 1st AI & Big Data > Innovation Summit organised by the Knowledge4Innovation Forum is > taking place in the European Parliament in Brussels. This is an > outstanding opportunity to meet and discuss with newly elected MEPs > and the new Commission (Commission President UVDL tbc) about the > opportunity for Europe to become a global leader in AI and data > driven innovations and how policy can support and if necessary, > regulate AI and big data developments. > > > > > Register here > Download Agenda > > > Latest Library Additions > AI Talent in the European Labour > Market. LinkedIn Report is out > > > > Permalink Main URL > > > > > > Ethical AI: Actioning a Nordic Stronghold > Together - summary of discussions > > > > Permalink Main URL > > > > > > The AI4EU Vision for Artificial Intelligence > in Europe > > > Permalink Main URL > > > > > > You are receiving this notification because you are a > member of the European AI Alliance on Futurium. Its purpose is to > facilitate our future interaction with you as a stakeholder (updated > Privacy Statement of Futurium). If you do not wish to receive this > kind of notifications in the future, please click here to > unsubscribe. > > Contact us > >
Received on Wednesday, 27 November 2019 17:09:53 UTC