IFIP TC12 - Artificial Intelligence - Intelligence

  • WG 12.11 – AI for Energy and Sustainability

    Officers

    Chair

    Prof Gülgün Kayakutlu, ITU (Instanbul Technical University), Turkey, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Vice-Chairs

    Prof. Georgious Saharidis, University of Thessaly, Greece  e-mail: sThis email address is being protected from spambots. You need JavaScript enabled to view it. 

    Prof. Berker Yurtseven, ITU Energy Institute, Turkey

    Prof. Ali Ghofrani, Qatar University, Qatar

    Secretary

    Irem Dûsdar, Düzce University, Turkey, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Aims

    This WG will have the specific objective of using AI for improving the management of energy systems and providing sustainability with smart cities, smart facilities, smart buildings, smart transportation and smart houses. Decision support systems, planning and optimization in the above-mentioned subjects require understanding of related systems, modelling, applying appropriate AI techniques including machine learning algorithms and handling temporary aspects of big data.

    Energy generation, transmission, distribution, sales and consumption need separated focus with the energy mix optimization, distributed approaches, renewable energies with storage. Any short-term, mid-term and long-term forecasting, optimization models, trend foresights and prescriptions based on scenarios are studied in the energy world and the smart systems for sustainability. This group will bring together researchers and practitioners inventing and experimenting the various artificial intelligence techniques for energy (traditional and renewable) lifecycle.

    The ultimate goal of the group is to bring a contribution to sustainable life. The founding members ambition in improvement and expansion of Energy Sustainability and Climate Change (ESCC) conferences.

    Scope

    Intelligence in energy is a very important issue for energy management, production and consumption. To face climate change, the attitudes of all involved actors have to evolve.

    We would like to promote the wise use of energy and intelligent techniques to manage it, an alternative way of considering energy from various perspectives and as a system component of our natural ecosystems.

    Members

    Berker Yurtseven

    ITU Energy Institute, Dr.

    Turkey

    Ali Ghofrani

    Qatar University, Dr.

    Qatar

    Vítězslav Máša

    Brno University of Technology, Professor

    Czech Republic

    İzzet Alp Gül

    Global Ports Holding Plc.

    United Kingdom

    Avni Özözen

    ENERJISA, expert

    Turkey

    Burak Gökce

    ENGIE, GEM European Countries, Expert

    Turkey

    Ufuk Akdag

    IDEA Learning Technologies, A.Ş., Manager      

    Turkey

    Haydar Haldun Ünlü    

    ICRON Technologies, R&D, Expert

    Turkey

  • WG 12.12 – AI Governance

    Officers

    Chair

    Anthony Wong, IFIP Vice President, AGW Lawyers & Consultants, Australia

    Vice-Chair

    Amal El Fallah Segrouchni, University Sorbonne Paris, COMEST, France

    Secretary

    TBA

    Aims

    The main purpose of the AIGOV will be to connect with selected groups working on AI Governance, fostering international collaboration and bring fresh ideas/opinion from a multidisciplinary, multilateral and multicultural group of stakeholders including AI experts and students. It is also to elaborate on some reasonable mechanisms for AI governance and for the mitigation of AI risks.

    Background and context to WG12.12 (AIGOV), with special accent on AI for Humanity

    AI Governance has become a pressing issue for Humanity and recent global developments advocate for new frameworks, structures and processes for better governance and for responsible design, development, deployment and use of AI. These include:

    • AI Ethical Frameworks
    • AI Regulation
    • AI Standards
    • AI By Design and Impact Assessment Frameworks
    • AI Auditing, Certification and Compliance, to name a few.

    The Ethics of AI has also been the subject of many debates worldwide. Prof. Steven Hawkins and Elon Musk have elaborated 23 ethical principles for AI, and in 2019, jurisdictions including Australia1 and the EU published their frameworks2, adding to the lists of contributors including the OECD Principles on Artificial Intelligence3, the World Economic Forum AI Governance: A Holistic Approach To Implement Ethics Into AI4 and the Singapore Model AI Governance Framework5, to name a few. WEF has released a 5-step guide to scale responsible AI. 6

    The UN Secretary-General in his June 2020 report commented that, “there are currently over 160 organizational, national and international sets of artificial intelligence ethics and governance principles worldwide”7 and calls for a common platform to bring these separate initiatives together.

    UNESCO was given the mandate by its Member States to develop an international standard-setting instrument on the ethics of artificial intelligence, which is to be submitted to the UNESCO General Conference in the later part of 2021. UNESCO has just released the first draft of the international standard-setting instrument on the ethics of artificial intelligence (The Recommendation),8 following on from a preliminary study on the ethics of artificial intelligence by the Extended Working Group on Ethics of Artificial Intelligence (AI) of the World Commission on the Ethics of Scientific Knowledge and Technology (COMEST)9

    COMEST in its report, reflected that “AI is a distributed technology, whose current practical governance is spread across numerous institutions, organizations and companies, the reflection on its good governance requires a pluralistic, multidisciplinary, multicultural and multistakeholder approach, opening up questions about what type of future we want for humanity.This reflection needs to address the main challenges in the development of AI technologies related to the biases embedded in algorithms, including gender biases, the protection of people’s privacy and personal data, the risks of creating new forms of exclusion and inequalities, the issues of just distribution of benefits and risks, accountability, responsibility, impacts on employment and the future of work, human dignity and rights, security and risks of dual use”.10

    It is the general view that the time has arrived to move from principles and to operationalize on the ethical practice on AI. 11 As stated by Fjeld et al., the impact of a set of principles is “likely to depend on how it is embedded in a larger governance ecosystem, including for instance relevant policies (e.g. AI national plans), laws, regulations, but also professional practices and everyday routines”.12 The view also resonated with those of UNESCO. UNESCO has advocated for Member States to put in place policy actions and oversight mechanisms to operationalize the values and principles in the UNESCO Recommendation.

    One of the objectives of the UNESCO Recommendation is to provide a universal framework of values, principles and actions to guide Nation States in the formulation of their legislation, policies or other instruments regarding AI.13

    In October 2020, the European Parliament adopted resolutions to regulate AI, setting the pace as a global leader in AI regulation.14 The 3 resolutions cover the ethical and legal obligations surrounding AI, civil liability setting fines of up to 2 million euros for damage caused by AI; and intellectual property rights.15 In response, the European Commission has published draft legislation addressing AI by obliging high-risk AI systems to meet mandatory requirements related to their trustworthiness.

    In April 2021, in a revolutionary milestone, the European Commission proposes the first AI legal framework, that could set new benchmarks and global norms for the global regulation of AI. The global implications could be similar to that of the EU’s General Data Protection Regulation (GDPR). The proposal followed on from intense debates on ethics of AI over the last few years and adopts a risk-based approach, differentiating between 3 categories of risks: uses of AI that create (i) an unacceptable risk, (ii) a high risk, and (iii) low or minimal risk.

    The legislative proposals contained a list of prohibited practices where uses of AI are considered unacceptable. These include practices that have significant potential to manipulate persons or exploit vulnerabilities of specific groups, AI-based social scoring and, the use of biometric systems in publicly accessible spaces unless certain limited exceptions apply. Fines of up to €30 million or 6% of worldwide annual turnover, have been proposed.

    AI systems identified as high-risk are subject to more stringent requirements and include critical infrastructures (e.g. transport); scoring to determine access to educational or vocational training; safety of products; employment; essential services; law enforcement; and administration of justice.

    1 Australian AI Ethics Framework (2019). https://www.industry.gov.au/data-and-publications/building-australias-artificial-intelligence-capability/ai-ethics-framework, last accessed 2020/6/6

    2 European Commission: Ethics guidelines for trustworthy AI (2019). https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai, last accessed 2020/6/6

    3 OECD, OECD Principles on Artificial Intelligence (22 May 2019), https://www.oecd.org/going-digital/ai/principles/, last accessed 2020/6/20

    4 World Economic Forum: AI Governance: A Holistic Approach to Implement Ethics into AI, https://www.weforum.org/whitepapers/ai-governance-a-holistic-approach-to-implement-ethics-into-ai, last accessed 2020/6/20

    5 Singapore Model AI Governance Framework, https://www.pdpc.gov.sg/-/media/files/pdpc/pdf-files/resource-for-organisation/ai/sgmodelaigovframework2.pdf, last accessed 2020/6/20

    6 https://www.weforum.org/agenda/2021/03/scaling-up-with-responsible-ai-a-5-step-guide-for-companies/

    7 Report of the UN Secretary-General, Road map for digital cooperation: implementation of the recommendations of the High-level Panel on Digital Cooperation, www.un.org/en/content/digital-cooperation-roadmap/, June 2020 p 18, www.un.org/en/content/digital-cooperation-roadmap/ accessed January 2021.  

    8 The first draft of the recommendation submitted to Member States proposes options for action to Member States and other stakeholders and is accompanied by concrete implementation guidelines. The first draft of the AI Ethics Recommendation is available at https://unesdoc.unesco.org/ark:/48223/pf0000373434; https://en.unesco.org/artificial-intelligence/ethics

    9 Preliminary study on the technical and legal aspects relating to the desirability of a standard-setting instrument on the ethics of artificial intelligence - UNESCO Digital Library; COMEST - Membres de la COMEST (unesco.org)

    10 Preliminary study on the technical and legal aspects relating to the desirability of a standard-setting instrument on the ethics of artificial intelligence - UNESCO Digital Library, paragraph 3

    11 See also the opinion of the High Level Panel Follow-up Roundtable 3C Artificial Intelligence - 1st Session, www.un.org/en/pdfs/HLP%20Followup%20Roundtable%203C%20Artificial%20Intelligence%20-%201st%20Session%20Summary.pdf

    12 Fjeld, Jessica and Achten, Nele and Hilligoss, Hannah and Nagy, Adam and Srikumar, Madhulika, Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI (January 15, 2020). Berkman Klein Center Research Publication No. 2020-1, Available at SSRN: https://ssrn.com/abstract=3518482 or http://dx.doi.org/10.2139/ssrn.3518482

    13 UNESCO first draft of the AI Ethics Recommendation, Resolution 68, available at https://unesdoc.unesco.org/ark:/48223/pf0000373434  

    14 European Parliament resolution of 20 October 2020 with recommendations to the Commission on a framework of ethical aspects of artificial intelligence, robotics and related technologies (2020/2012(INL)), https:// www.europarl.europa.eu/doceo/document/TA-9-2020-0275_EN.pdf

    15 Three Resolutions on the ethical and legal aspects of Artificial Intelligence software systems (“AI”): Resolution 2020/2012(INL) on a Framework of Ethical Aspects of Artificial Intelligence, Robotics and related Technologies (the “AI Ethical Aspects Resolution”), Resolution 2020/2014(INL) on a Civil Liability Regime for Artificial Intelligence (the “Civil Liability Resolution”), and Resolution 2020/2015(INI) on Intellectual Property Rights for the development of Artificial Intelligence Technologies (the “IPR for AI Resolution”)

    First event

    Panel (IFIP supported event) AI Ethics and Governance on IJCAI 21, Montréal, Canada (online) August 25th, 2021 with the participation of Anthony Wong, Amal El Fallah – Segrouchni, David-Raphael Bravo-Marcial and Eunika Mercier-Laurent.

    Members

    Ulrich Furbach

    University of Koblenz

    Germany

    Eunika Mercier-Laurent

    Chair TC12

    France

    David Kreps

    Chair TC 9

    Ireland

    Christina Zoi Mavroedi

    Epita student

    Greece

    David Raphael Bravo

    Epita student

    Venezuela

    Nominee from the Responsible AI Institute (to be confirmed by Ashley Casovan Executive Director)

    Responsible AI Institute

    Non-profit organization www.responsible.ai

    Canada

    John MacIntyre (to be confirmed),

    Dean of the Faculty of Applied Sciences, and Pro Vice Chancellor at the University of Sunderland, UK, Editor. Springer Journal: AI and Ethics https://sure.sunderland.ac.uk/profile/63

    UK

    Joanna J Bryson (to be confirmed)

    Professor of Ethics and Technology at Hertie School of Governance in Berlin About — Joanna Bryson (joannajbryson.org)

    Germany and UK

  • WG 12.5 – Artificial Intelligence Applications

    The TC12 working group WG12.5 “Artificial Intelligence Applications” was established in 1993 and was then called “Knowledge Oriented Development of Applications”. It was renamed “Artificial Intelligence Applications” in 2003.

    Officers

    Chair

    Dr. Ilias Maglogiannis, Greek Computer Society (GCS), Greece, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Vice-Chair

    TBA

    Secretary

    Professor Ilias Maglogiannis, Department of Biomedical Informatics, University of Central Greece, Papasiopoulou 2-4, PC 35100, Lamia, Greece, email: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Aim

    To explore the use of Artificial Intelligence techniques for applications development.

    Scope

    All areas of application in which Artificial Intelligence techniques can give benefits to users. Techniques for application development including:

    • Conceptual frameworks for application specification and design
    • User interface design
    • Integration of AI software and systems with conventional databases, programming languages and operating systems
    • Related research issues such as knowledge acquisition, learning, validation and implementation techniques
  • WG 12.9 – Computational Intelligence

    Officers

    Chair

    Prof. Vasile Palade, Coventry University, UK, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 

    Vice-Chairs

    Prof. Elizabeth Chang, University of New South Wales, Australia e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Assoc. Prof. Andreas Holzinger, Medical University of Graz, Austria, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 

    Dr. Masoud Nikravesh, University of California Berkeley, CA, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. 

    Secretary

    Dr. Kit Yan Chan, Curtin University, Perth, Australia e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.

    Aim

    This group aims to bring together researchers and practitioners working on Computational Intelligence and its applications to help develop theoretical foundations and technological underpinnings of Computational Intelligence.

    Scope

    The scope of the Working Group’s activities includes (but is not restricted to) the following computational intelligence approaches and applications:

    • Neural Networks and Deep Learning
    • Fuzzy Systems
    • Evolutionary Computation and Optimization
    • Multi-agent/distributed systems using computational intelligence techniques
    • Computational Intelligence approaches combinations with classical machine learning and statistical methods
    • Applications of Computational Intelligence techniques in:
        1. Industrial and engineering problems
        2. Medicine and health informatics
        3. Smart cities, transport and autonomous cars
        4. Security
        5. Economics, business and financial forecasting
        6. Intelligent virtual and teaching environments
        7. etc.

    Members

    1. B. de Baets, University of Gent, Belgium
    2. Soumya Banerjee, Birla Institute of Technology, India
    3. Antonio Braga, Federal University of Minas Gerais, Brazil
    4. Xuewen Chen, Wayne State University, USA
    5. Mo Yuen Chow, North Carolina State University, USA
    6. D.W. Corne, Heriot-Watt University, Edinburgh, UK
    7. D. Davis, NUTECH, Inc., Newbury, USA
    8. K. Deb, Dept. of Mechanical Engineering (Kanpur), India
    9. Francis Wei Fang, Albert-Ludwigs University of Freiburg, Germany
    10. Francisco Herrera, University of Granada, Spain
    11. X.-Z. Gao, Helsinki University of Technology, Espoo, Finland
    12. Artur d'Avila Garcez, City University London, UK
    13. Yannis Hatzilygeroudis, University of Patras, Greece
    14. Andreas Holzinger, Medical University of Graz, Austria
    15. N. Kasabov, Knowledge Engineering and Discovery Research Institute, New Zealand
    16. C.K. Kwong, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
    17. Sam Kwong, City University of Hong Kong, Hong Kong
    18. Andrew Kusiak, University of Iowa, USA
    19. Taghi Khoshgoftaar, Florida Atlantic University, USA
    20. O. Kaynak, Bogazici University, Bebek, Turkey
    21. Hak-Keung Lam, King’s College London, UK
    22. Frank H.F. Leung, Hong Kong Polytechnic University, Hong Kong
    23. Steve S.H. Ling, University of Technology, Sydney, Australia
    24. Danillo Mandic, Imperial College London, UK
    25. L.J. Mazlack, University of Cincinnati, USA
    26. Daniel Neagu, University of Bradford, UK
    27. N.R. Pal, Indian Statistical Institute, India
    28. Anitha S. Pillai, Hindustan University, India
    29. Radu Emil Precup, Technical University of Timisoara, Romania
    30. Rajkumar Roy, Cranfield University, United Kingdom
    31. Jun Sun, Jiangnan University, China
    32. Juan Velasquez, University of Chile, Chile
    33. Arif M. Wani, Kashmir University, India
    34. Bogdan M. Wilamowski, Auburn University, USA
    35. Kevin Kam Fung Yuen, Singapore University of Social Sciences, Singapore
    36. Xinghuo Yu , RMIT University , Australia
    37. Xingquan (Hill) Zhu, University of Technology, Sydney, Australia
    38. Simon See, NVIDIA AI Technology Centre, USA
    39. Ariel Ruiz-Garcia, Seechange AI, UK
    40. Roozbeh Razavi-Far, University of Windsor, Canada
    41. Nicolae Constantin, “Politehnica” University of Bucharest, Romania
    42. Ming Zhang, Wuhan Instititute of Technology, China