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The periodic technical report for the HumaneAI Network successfully submitted to EU reviewers

After the HumaneAI project setup phase, initiating the internal and external collaboration mechanisms the first 18 months were focused on engaging with the research questions posed in the proposal within WPs 1-5 and conducting a series of concrete high-impact activities to connect to the community. Nearly 70 micro projects spanning the large majority of the project partners have been initiated resulting in 82 project publications, incl. Nature, PNAS, Phys.Rev, Artificial Intelligence etc papers.

A major result of this work has been the updated research agenda which includes a novel conceptual framework for human-AI collaboration, a notion of shared representations centered around of narratives and the expansion of the definition of AI trustworthiness and explainability in terms of human-computer interaction (systems that humans (both individually and as a society) feel they understand and are comfortable trusting rather than systems that “only” fulfill certain hard technical specification).

Attending the annual meeting of the African AI community in Tunis

After not taking place these past two years, K4A personnel is excited to return to the Deep Learning Indaba 2022 as attendees and sponsors in Tunis, Tunisia, from the 21st to the 26th of August.

The Deep Learning Indaba is the annual meeting of the African machine learning community with the mission to Strengthen African Machine Learning.

In 2022, the Indaba managed to see 350 members of Africa’s artificial intelligence community for a week-long event of teaching, research, exchange, and debate around the state of the art in machine learning and artificial intelligence.

Lacuna Fund 2022 grantees convening in Tunis

As of August 2021, Lacuna Fund has selected 29 projects for funding in the Agriculture, Natural Language Processing, and Equity & Health domains. Project teams from the first rounds of funding in Agriculture and Natural Language Processing have either completed or are nearly finished with their datasets. Those project teams were invited to attend the 2022 Lacuna Fund Grantee Convening.

K4A was granted two projects funded by the first rounds of Lacuna funding, Jade Abbott leading the “Masakhane MT: Decolonizing Scientific Writing for Africa” and Peter Nabende’s project “Named Entity Recognition and Parts of Speech datasets for African languages“. Both project results are available now, with links to the datasets listed on the Lacuna Fund website.

We were extremely happy to meet representatives from many of the project teams in person!

Organizing the Dagstuhl Workshop on Human-Centered AI Perspectives

Dagstuhl Report

Frank van Harmelen, Wendy Mackay and K4A director John Shawe-Taylor with the help of Virginia Dignum co-organized and ran the Human-Centred AI Perspectives Workshop at Dagstuhl from 26 June to 1 July, 2022, with 22 participants.

Society is undergoing a revolution in artificial intelligence (AI), with huge potential benefits, but also major risks for individuals and society. Increasingly, trust in the development, deployment, and the use of AI and autonomous systems concerns not only the technology’s inherent properties, but also the socio-technical systems of which they are part of, that is, the people, organisations, and societal environments in which systems are developed, implemented, and used. Currently, major challenges include the lack of fundamental theory and models to analyse and ensure that systems are aligned with human values and ethical principles, accountable, open to inspection, and understandable to diverse stakeholders. Furthermore, there is no doubt that this technological shift will have revolutionary effects on human life and society.

The goal of this Dagstuhl Perspectives Workshops was to contribute to shape that revolution, to provide the scientific and technological foundations for designing and deploying AI systems that work in partnership with human beings, to enhance human capabilities rather than replace human intelligence. Fundamentally new solutions are needed for core research problems in AI and human-computer interaction (HCI), especially to help people understand actions recommended or performed by AI systems and to facilitate meaningful interaction between humans and AI systems.

June 26 – July 1 , 2022, Dagstuhl Perspectives Workshop 22262
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