Shaping the ethical dimensions of smart information systems (SIS) – a European perspective | SHERPA | Project | Results | H2020 | CORDIS

Livrables

Current human rights framework
Risk register
SHERPA final recommendations
Terms of reference for SIS regulator
SIS Workbook
Dissemination, communication, exploitation and advocacy reports

Dissemination communication exploitation and advocacy reports

Delphi study report
SIS scenarios
Ethics by design and research ethics for AI

This task builds on existing SHERPA work to develop guidelines for developers as well as guidelines for users of AI and seeks to connect this with the Ethics by Design EbD approach undertaken in the SIENNA project In these ways the task feeds into the ECs guidance for ethics review of Horizon Europe projects Our aims in this task are thus 1 further development and application of the EbD methodology so as to help researchers in their practice 2 to produce training material related to EbD which can be used beyond the lifetime of the SHERPA project 3 to pilot the training material by delivering training sessions including for researchers within H2020 andor those who intend to bid for Horizon Europe funding and 4 To embed EbD in research ethics frameworks for AI and to develop competencies for researchers and research ethics assessors for research ethics for AI that includes EbD SHERPA therefore plans to offer EbD training to interested audiences such as NCPs adopting the SIENNA approach Following successful completion of this task SHERPA intends to develop an EbD training programme that will be made available as a commercially available resource through the nonprofit spinout company ORBIT wwworbitrriorg This ensures that the legacy of this work will remain after the project lifetime

Report on standardisation activities
Technical options and interventions report
Case studies
Dissemination, communication, exploitation and advocacy plan (DCEAP)
Report of Stakeholder Board activities and stakeholder recommendations
Artificial Intelligence Impact Assessment - A systematic review

This task aims to establish how an impact assessment for AI should be designed so that it can address ethical and human rights concerns In order to do this the task undertakes a systematic review of impact assessments that are of relevance to AI to understand what counts as good practice in impact assessment and how such good practice can be applied to AI Following the academic literature review the task will conduct a series of snowball and peer searches to provide a comprehensive account of available AI impact assessment models tools and templates These documents will be systematically analysed to identify good practice and minimum requirements for impact assessments to be suitable to address ethical and human rights issues of AI

Report on regulatory options
Evaluation and validation strategy
Evaluation report
Quality assurance plan
Reporting on the impact of SHERPA AI Ethics Education

Using the SHERPA work and in particular stakeholder input and developed mitigation proposals this task will develop and assess educational material that will contribute positively to AI education Specifically the developed material will include the following two activitiesselection of teachingoriented case studies building on reallife case studies adjusted according to the educational paradigm of designing for values educational materialdeveloping training sessions on SHERPArelated outcomes and assessing them using pilot workshops supported by the project partners involved in this taskThe pilot workshops will be used to assess the learning of the participants after undergoing the training IT professionals and technology experts will participate in these workshopsIn addition to formal educational materials led by UclanCY with contributions from FSC DMU UT PJ the task will also select materials for nonformal educational training that will also be assessed in a pilot workshop led by AHR where members of the general public will be invited to participate In both formal education and nonformal education materials the activity leaders will collect feedback and adjust if necessary before organising the pilot workshops The pilot workshops will act as interventions related to AI ethics where the learning of the participants can be evaluated in relation to the proposed educational materials As such the learning impact of the proposed materials can be recorded and documentedMoreover the case study included in the formal educational materials as well as a number of additional case studies will be published as an open access Springer book The book will contain novel case studies that highlight ethical and human rights issues and solutions in line with the SHERPA recommendations the activity will be led by UCLanCY

Online survey report
Guidelines for the development and use of SIS
Report of interview analysis
Report on ethical tensions and social impacts
Events

This deliverable will contain information title date location and content on significant events organized by the project conferences seminars and workshops This will be submitted in month 12 and updated on an annual basis at month 24 36 42

Cyber threats and countermeasures

Website and social media accounts

Artistic representation

Publications

Artificial Intelligence for a Better Future: An Ecosystem Perspective on the Ethics of AI and Emerging Digital Technologies

Auteurs: Stahl, Bernd Carsten
Publié dans: Springer Open Access, 2021
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-69978-9

The Ethical Balance of Using Smart Information Systems for Promoting the United Nations’ Sustainable Development Goals

Auteurs: Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B
Publié dans: Sustainability, 2020, ISSN 2071-1050
Éditeur: MDPI Open Access Publishing
DOI: 10.3390/su12124826

Organisational Responses to the Ethical Issues of Artificial Intelligence

Auteurs: Stahl, B.C., Antoniou, J., Ryan, M., Macnish, K., Jiya, T
Publié dans: AI & Society, 2021, ISSN 0951-5666
Éditeur: Springer Verlag
DOI: 10.1007/s00146-021-01148-6

Ethics and Privacy in AI and Big Data: Implementing Responsible Research and Innovation

Auteurs: Stahl, B. C., & Wright, D
Publié dans: IEEE - Security & Privacy, 2018, ISSN 1540-7993
Éditeur: IEEE Computer Society
DOI: 10.1109/msp.2018.2701164

Research and Practice of AI Ethics: A Case Study Approach Juxtaposing Academic Discourse with Organisational Reality

Auteurs: Ryan, M., Antoniou, J., Brooks, L., Jiya, T., Macnish, K., & Stahl, B
Publié dans: Science and Engineering Ethics, 2020, ISSN 1353-3452
Éditeur: Opragen Publications
DOI: 10.1007/s11948-021-00293-x

Smart Grids and Ethics

Auteurs: Tally Hatzakis, Rowena Rodrigues, Wright David
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.108

Ethics of Public Use of AI and Big Data

Auteurs: Mark Ryan
Publié dans: ORBIT Journal, Numéro 2/1, 2018, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i1.101

Insurance, Smart Information Systems and Ethics

Auteurs: Natalija Kancevičienė
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.106

Understanding Ethics and Human Rights in Smart Information Systems

Auteurs: Bernd Stahl, Macnish Kevin, Ryan Mark
Publié dans: ORBIT Journal, Numéro 2/1, 2018, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i1.102

Ethics of Using Smart City AI and Big Data: The Case of Four Large European Cities

Auteurs: Mark Ryan, Anya Gregory
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.110

Ethical Implications of Predictive Risk Intelligence

Auteurs: Tilimbe Jiya
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.112

Ethical Reflections of Human Brain Research and Smart Information Systems

Auteurs: Tilimbe Jiya
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.113

Policy scenarios as an instrument for policymakers

Auteurs: David Wright, Bernd Stahl, Tally Hatzakis
Publié dans: Technological Forecasting and Social Change, Numéro 154, 2020, Page(s) 119972, ISSN 0040-1625
Éditeur: Elsevier BV
DOI: 10.1016/j.techfore.2020.119972

Artificial intelligence ethics guidelines for developers and users: clarifying their content and normative implications

Auteurs: Mark Ryan, Bernd Carsten Stahl
Publié dans: Journal of Information, Communication and Ethics in Society, Numéro ahead-of-print/ahead-of-print, 2020, ISSN 1477-996X
Éditeur: Emerald Group Publishing Ltd.
DOI: 10.1108/jices-12-2019-0138

Ethics of Using AI and Big Data in Agriculture: The Case of a Large Agriculture Multinational

Auteurs: Mark Ryan
Publié dans: ORBIT Journal, Numéro 2/2, 2019, ISSN 2515-8562
Éditeur: ORBIT
DOI: 10.29297/orbit.v2i2.109

Artificial Intelligence for Human Flourishing – Beyond Principles for Machine Learning

Auteurs: Stahl, B.C., Andreou, A., Brey, P., Hatzakis, T., Kirichenko, A., Macnish, K., Patel, A., Ryan, M., Wright, D
Publié dans: Journal of Business Research, 2021, ISSN 0148-2963
Éditeur: Elsevier BV
DOI: 10.1016/j.jbusres.2020.11.030

Democracy Under Attack: Challenges of Addressing Ethical Issues of AI and Big Data for More Democratic Digital Media and Societies

Auteurs: Christodoulou E., Iordanou K
Publié dans: 2021
Éditeur: Frontiers in Political Science
DOI: 10.3389/fpos.2021.682945

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Shaping the ethical dimensions of smart information systems (SIS) – a European perspective

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