The Humane AI initiative will develop the scientific foundations and technological breakthroughs needed to shape the ongoing artificial intelligence (AI) revolution. The goal is to design and deploy AI systems that enhance human capabilities and empower both individuals and society as a whole to develop AI that extends rather than replaces human intelligence. This vision fits very well into the ambitions articulated by the EC in its Communication on AI but cannot be achieved by legislation or political directives alone. Instead it needs fundamentally new solutions to core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems. Challenges include: learning complex world models; building effective and fully explainable machine learning systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems in general); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems. The focus is on human-centered AI, with a strong emphasis on ethics, values by design, and appropriate consideration of related legal and social issues. The HumanE AI project will mobilize a research landscape far beyond the direct project funding and create a unique innovation ecosystem that offers substantial return on investment. It will result in significant disruption across its socio-economic impact areas, including Industry 4.0, health & well-being, mobility, education, policy and finance. It will spearhead the efforts required to help Europe achieve a step-change in AI uptake across the economy. The consortium, with 35 partners from 17 countries, including four large industrial members, will define the details of all aspects necessary to implement future projects in the topic, and mobilize major scientific, industrial, political and public support for the vision.
Publications
year
authors and title
journal
last update
List of publications.
2019
Riccardo Guidotti, Anna Monreale, Fosca Giannotti, Dino Pedreschi, Salvatore Ruggieri, Franco Turini Factual and Counterfactual Explanations for Black Box Decision Making published pages: 14-23, ISSN: 1541-1672, DOI: 10.1109/mis.2019.2957223
IEEE Intelligent Systems 34/6
2020-04-24
2019
Dino Pedreschi, Fosca Giannotti, Riccardo Guidotti, Anna Monreale, Salvatore Ruggieri, Franco Turini Meaningful Explanations of Black Box AI Decision Systems published pages: 9780-9784, ISSN: 2374-3468, DOI: 10.1609/aaai.v33i01.33019780
Proceedings of the AAAI Conference on Artificial Intelligence 33
2020-04-24
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The information about "HUMANE AI" are provided by the European Opendata Portal: CORDIS opendata.
More projects from the same programme (H2020-EU.1.2.3.)