- From: ProjectParadigm-ICT-Program <metadataportals@yahoo.com>
- Date: Fri, 29 Nov 2019 17:39:11 +0000 (UTC)
- To: W3C AIKR CG <public-aikr@w3.org>, <paoladimaio10@googlemail.com>
- Message-ID: <96557659.4443559.1575049151825@mail.yahoo.com>
Dear Paola and all,
A quick review of the web pages and AI Alliance shows that we as a community as a whole need to register, or individual members of the AIKR W3 CG who have EU accounts can register.
I think that for now, providing input as AIKR CG would be premature, taking into consideration that the work of the AI Alliance is already well-defined and structured, whereas our is not (yet).
Milton Ponson
GSM: +297 747 8280
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean
Project Paradigm: Bringing the ICT tools for sustainable development to all stakeholders worldwide through collaborative research on applied mathematics, advanced modeling, software and standards development
On Wednesday, November 27, 2019, 2:20:03 AM AST, Paola Di Maio <paola.dimaio@gmail.com> wrote:
In relation tohttps://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 AIIf there are no objections I ll send the following statement, feel free to addor comment, before Nov 30 thanks
To: EU AI ALLIANCEGreetings 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 achieveEthics in AI
Although still at exploratory stage, we are doing research and developing materials knowledge and resources to support and explain our statement if helptulhttps://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 regardsPaola Di Maio, ChairW3C 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>
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| | 26 November 2019 | |
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European AI Alliance
Community Updates
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| Survey on Assessment List - Ethics Guidelines for Trustworthy AI |
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| Submit your feedback by the 1st of December |
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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:
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(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
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| Join the discussion |
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| AI-based Applications |
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| | | Marcel Isbert |
| | 19 November 2019 |
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| Ethical and Just AGI for Safe AI |
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| | | lisa new |
| | 14 November 2019 |
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| More |
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| Best Practices |
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| EIT Health: AI and Ethics in the Health Innovation Community |
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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.
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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
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| Featured Events |
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| 26 November - AI4EU Café "Understanding the World with AI" with Philipp Slusallek (Scientific Director of DFKI) |
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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.
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Register here
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| 2 to 5 December - AI & Big Data for Innovation Summit |
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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.
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Register here
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| AI Talent in the European Labour Market. LinkedIn Report is out |
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| Permalink | | Main URL |
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| Ethical AI: Actioning a Nordic Stronghold Together - summary of discussions |
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| Permalink | | Main URL |
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| The AI4EU Vision for Artificial Intelligence in Europe |
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Received on Friday, 29 November 2019 17:39:35 UTC