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Dr. David Lewis

Associate Professor (Computer Science)

Dave Lewis is an Associate Professor at the School of Computer Science and Statistics at Trinity College Dublin where he served as the head of its Artificial Intelligence Discipline. He is the Acting Director of Ireland"s ADAPT Centre for human centric AI and digital content technology research. He investigates open semantic models for trustworthy AI and data governance and contributes to international standards in digital content processing and trustworthy AI. His research focuses on the use of open semantic models to manage the Data Protection and Data Ethics issues associated with digital content processing. He has led the development of international standards in AI-based linguistic processing of digital content at the W3C and OASIS and is currently active in international standardisation of Trustworthy AI at ISO/IEC JTC1/SC42 and CEN/CENELEC JTC21.
  Automated service composition   Autonomic Computing   Communication engineering, technology   Distributed systems   Internet technologies   Knowledge and data engineering   Knowledge based networking   Knowledge Management   Knowledge Representation   MOBILE COMMUNICATION   Mobile Communications   Network management   Networks and telecommunications research   Pervasive Computing   Policy based management   SEMANTIC RULES   Semantic Web   Service Management   Software Engineering   Systems analysis and models development   Ubiquitous Computing   Virtual Organisations   Virtual Reality
 ADAPT Centre
 CNGL, The Centre for Next Generation Localisation
 Centre for Next Generation Localisation

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Details Date
Head of Delegation representing Ireland at Trustworthy AI Standardisation Working Group at the ISO-IEC/JTC1 subcommittee on Artificial Intelligence Standards 2018
TCD Representative to the World Wide Web Consortium, Technical Advisory Committee Member, Co-chair Multilingual Web Language Technology Working Group 2012
Organising Committee member for the 2nd International workshop Management of Ubiquitous Communications and Service (MUCS)
Reviewer for IEEE Communications Magazine; Proceedings of the IEEE; IEEE Pervasive Computing; Communications Networks; Journal of Network and System Management; Journal of Autonomic and Trusted Computing, and Journal of Computer Science.
Local Arrangements Chair for IEEE Vehicular Technology Conference, Dublin April 2007
Board member and Architecture Committee co-chair of the Autonomic Communication Forum
Editorial board member for Springer's Journal of Network and System Management
Details Date From Date To
Member of the Association of Computing Machinery (ACM)
Member of the Institute of Electrical and Electronics Engineers (IEEE)
Member of the Institute of Electric Engineers (IEE)
Delaram Golpayegani, Harshvardhan J. Pandit, Dave Lewis, To Be High-Risk, or Not To Be-Semantic Specifications and Implications of the AI Act's High-Risk AI Applications and Harmonised Standards, ACM Conference on Fairness, Accountability, and Transparency (FAccT), Chicago, IL, 12-15 June, 2023, Conference Paper, IN_PRESS  TARA - Full Text
Saxena, Deepak and Wall, P. J. and Lewis, Dave, 2023 IEEE International Symposium on Technology and Society (ISTAS), 2023 IEEE International Symposium on Technology and Society (ISTAS), 2023, pp1-5 , Conference Paper, PUBLISHED  DOI
Beatriz Esteves, Víctor Rodríguez Doncel, Harshvardhan J. Pandit, Dave Lewis, Semantics for Implementing Data Reuse and Altruism Under EU"s Data Governance Act, International Conference on Semantic Systems (SEMANTiCS), Leipzig, Germany, 15 aug 2023, 2023, pp210 - 226, Conference Paper, PUBLISHED  DOI
Cathy Roche, PJ Wall, Dave Lewis, Ethics and diversity in artificial intelligence policies, strategies and initiatives, AI and Ethics, 3, 2023, p1095 - 1115, Journal Article, PUBLISHED  DOI
H.Asgarinia, A.Chomczyk Penedo, B.Esteves, D.Lewis, "Who Should I Trust with My Data?" Ethical and Legal Challenges for Innovation in New Decentralized Data Management Technologies, Information, 14, (7), 2023, Journal Article, PUBLISHED  DOI
Delaram Golpayegani, Comparison and Analysis of 3 Key AI Documents: EU's Proposed AI Act, Assessment List for Trustworthy AI (ALTAI), and ISO/IEC 42001 AI Management System, 30th Irish Conference on Artificial Intelligence and Cognitive Science (AICS), Ireland, 8-9 December 2022, 2022, Conference Paper, PUBLISHED
Beatriz Esteves, Haleh Asgarinia, Andres Chomczyk Penedo, Blessing Mutiro, and Dave Lewis, Fostering trust with transparency in the data economy era: an integrated ethical, legal, and knowledge engineering approach, 1st International Workshop on Data Economy, Association for Computing Machinery, New York, NY, USA, 2022, pp57 - 63, Conference Paper, PUBLISHED  DOI
Brown, S. and Saxena, D. and Wall, P.J. and Roche, C. and Hussain, F. and Lewis, D., Data Collection in the Global South and Other Resource-Constrained Environments: Practical, Methodological and Ethical Challenges, IFIP Advances in Information and Communication Technology, 657 IFIP, 2022, p608-618 , Notes: [cited By 0], Journal Article, PUBLISHED  DOI
Harshvardhan J. Pandit, Declan O'Sullivan, Dave Lewis, A design pattern describing use of personal data in privacy policies, IOS Press, 2021, 107-119pp, Book, PUBLISHED  DOI
An Ontology for Standardising Trustworthy AI in, editor(s)Ali G. Hessami , Factoring Ethics in Technology, Policy Making and Regulation, London, UK, IntechOpen, 2021, [Dave Lewis, David Filip, Harshvardhan J Pandit], Book Chapter, PUBLISHED  TARA - Full Text  DOI  URL

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Standardization and the Governance of Artificial Intelligence Standards in, editor(s)Deborah C Poff, Alex C. Michalos , Encyclopedia of Business and Professional Ethics, Springer, 2021, [Dave Lewis, Harshvardhan J. PanditP. J. Wall, David Filip], Book Chapter, PUBLISHED
PJ Wall, David Lewis, Lucy Hederman, Causal Explanation of Mobile Health (mHealth) in Sierra Leone - A Morphogenetic Analysis, Development Studies Association of Ireland (DSAI) Annual Conference 2018, Dublin, Ireland, October 2018, 2018, Conference Paper, PUBLISHED
Dave Lewis, Identifying and managing your data: Questions & Answers, European Language Resource Coordination workshop Dublin, Dublin, 13 October, 2017, DCU, Notes: [event report:], Invited Talk, PUBLISHED
D. Lewis, S. Dobson, Guest Editorial: Autonomic Pervasive and Context-Aware Systems, Journal of Network and Systems Management, 15, (1), 2007, Journal Article, PUBLISHED
J. Keeney, D. Lynch, D. Lewis, D. O'Sullivan, On the Role of Ontological Semantics in Routing Contextual Knowledge in Highly Distributed Autonomic Systems, Department of Computer Science, Trinity College Dublin, 2006, (Technical Report (TCD-CS-2006-15)), Report, PUBLISHED
D. Lewis, Panel Report: "How the Autonomic Network Interacts with the Knowledge Plane?", 1st IFIP WG6.6 International Workshop on Autonomic Communication (WAC 2004), Berlin, Germany, 18-19 October 2004, LNCS 3457, Springer, 2005, pp275 - 278, Conference Paper, PUBLISHED
D. Lewis, Adaptive Systems for Ubiquitous Computing: Chair's introductions to the invited workshop on Adaptive Systems for Ubiquitous Computing, International Symposium of Information and Communications Technologies, Dublin, Ireland, 24-26 September 2003, 2003, pp164 - 164, Conference Paper, PUBLISHED
Service Management in, editor(s)J. Hall , Management of Telecommunication Systems and Services: Modelling and Implementing TMN-based Multi-domain Management, Springer-Verlag, 1996, pp41 - 120, [David Lewis], Notes: [Lecture Notes in Computer Science 1116 ISBN 3-540-61578-4 ], Book Chapter, PUBLISHED


My research interest is in Management Knowledge, and how it can be captured, modelled, analysed and exchanged in decentralised decision-making settings. I am therefore interested in developing data and knowledge engineering techniques for management knowledge that is used to achieve shared goals in situations where decision-making authority is not centralised, but diffused across multiple individuals or organisations. For such collaborative decision-making, I investigate the use of declarative knowledge techniques, including open data formats, ontological knowledge formats such as description logic and declarative operational instructions such as policy rules, service specifications and workflow models. The effectiveness of employing these techniques is measured through: i) The ease with which software engineers can integrate knowledge sharing models with native data models existing in legacy and proprietary management systems. ii) The additional computational and data retrieval loads imposed by employing declarative, knowledge-based representations of management information, compared to existing solutions with implicit representations. iii) The reduction in cognitive load for human decision makers against their need to compensate for the shortfalls exhibited by automated decision support that from components leveraging explicit management knowledge, e.g. in accuracy of machine-learning and natural language processing (NLP) components and the limits in domain knowledge completeness in reasoning components. iv) The degree to which decision-makers can assimilate knowledge in making accurate and timely management decisions and the impact of personalised and interactive data visualsiation techniques. Application of these techniques and their evaluation has had impact in the following application areas: a) Telecommunications Management: I was an early proponent of the extensible mark-up language for management information exchange and services, highlighting the performance and engineering tradeoffs. This approach is now common place in the telecoms industry, where long value chains are common. I also championed the topic of open semantic knowledge formats and issues of federated management in the research community. b) Smart Building Management: Here we have used open semantic models and 3D interactive data representations to enable building occupants and building managers to reconcile the management of several heterogeneous heating, ventilation and air conditioning systems; location tracking and environmental sensors and electronic access control systems to achieve physical security, comfort and energy efficiency. c) Online Communities: These exhibit a high degree decentralisation in managing the conduct of the community and the creation and sharing of digital resources, here we developed and evaluated a novel set of design considerations for developing community data visualisation tools to assist community decision-making. d) Intelligent Content Processing: This field addresses the application of NLP and personalisation technology to the processing of digital content, primarily in applications aimed at engaging with customers, citizens and leaners online. This is the core topic of CNGL and the new ADAPT Centre. Here I have pioneered the use of open semantic models to monitor the interplay between human language workers (e.g. translators & terminologists) and NLP components, and curating the result to improve those components. I have therefore demonstrated a substantial and sustained research output in decentralised management knowledge applied to a number of domains.