In this half-day workshop, we highlight various research opportunities and career paths for excellent researchers in the field of computing, with reflections on gender equality and diversity. We have invited a select number of successful researchers from industry and academia, who will take the stage to share their perspectives and unique insights into their careers and research domains. With this event we aim to foster mentorship in career development for young (female) researchers by establishing and strengthening a network of Women* in Computing.

Agenda

11:00-12:00 Discussions on the Workshop Series (SFB-internal)
12:00-12:30 Opening and Welcome (with finger food)
13:00-13:30 Flash introductions
13:30-15:30 Speaker session I

  • Andrea Volkamer (Saarland University)
  • Miriam Butt (University of Konstanz)
  • Sarah Völkel (Google)
15:30-16:00 Coffee break
16:00-18:00 Speaker session II

  • Enxhi Gjini (Takeda)
  • Andrea Šipka (DFKI)
  • Passant Elagroudy (DFKI)
18:00-18:30 Group discussions (with finger food)
18:30-19:00 Concluding discussion and closing
20:00-22:00 Working dinner: Planning WiC ‘24 (organizers + speakers)

Organizers

Event Contact

  • Rita P. Ribeiro (INESC TEC)

Programme

Time Speaker Description
9:00 Virginia Dignum Responsible AI: from Principles to Action

Background

The workshop intends to attract papers on how Data Science can and does contribute to social good in its widest sense.

Topics of interest include:

  • Government transparency and IT against corruption

  • Public safety and disaster relief

  • Access to food, water, sanitation and utilities

  • Efficiency and sustainability

  • Climate change

  • Data journalism

  • Social and personal development

  • Economic growth and improved infrastructure

  • Transportation

  • Energy

  • Smart city services

  • Education

  • Social services, unemployment and homeless

  • Healthcare and well-being

  • Support for people living with disabilities

  • Responsible consumption and production

  • Gender equality, discrimination against minorities

  • Ethical issues, fairness, and accountability.

  • Trustability and interpretability

  • Topics aligned with the UN development goals

The major selection criteria will be the novelty of the application and its social impact. Position papers are welcome too.

We are also interested in applications that have built a successful business model and are able to sustain themselves economically. Most Social Good applications have been carried out by non-profit and charity organisations, conveying the idea that Social Good is a luxury that only societies with a surplus can afford. We would like to hear from successful projects, which may not be strictly "non-profit" but have Social Good as their main focus.

Accepted papers will be published by Springer as joint proceedings of several ECML PKDD workshops.

Organizers

Event Contact

Programme

Time Speaker Description
9:00 Wolfgang Köhler

Background

In this webinar, fortiss presents the potentials and benefits of a data-driven digitization strategy for small and medium-sized enterprises (SMEs). Success stories and practical application examples also illustrate how networked information systems and artificial intelligence (AI) can create targeted added value for companies.

About

This webinar is hosted by Carbon Re together with the UNESCO International Research Centre on Artificial Intelligence (IRCAI), in association with London Climate Action Week and with the generous support of HumaneAI-Net.

Register →here

According to the Climate Change Committee, greenhouse gas emissions from manufacturing and construction were 66 MtCO2 in 2018 - 12% of the UK total. If there is a lesson from the pandemic it is that we need to multiply our efforts to mitigate climate change, if we are to avoid economic, social and political disaster. Yet, we can’t achieve net zero goals without decarbonizing manufacturing and construction. We need to tackle the hard problems today. This means industrial policies, R&D funding, business support and innovation that accelerate the zero-carbon transition needed to address these challenges.

Join us to hear from world leading experts in AI, business and policy discussing current applications and high-potential use cases.

Keynote speech by Professor John Shawe-Taylor

Professor John Shawe-Taylor is the UNESCO Chair in AI, and Director of the International Research Center on Artificial Intelligence under the auspices of UNESCO.

Followed by a panel discussion with

Sana Khareghani, Head of Office for Artificial Intelligence. The Office for AI is a joint unit between Department for Digital, Media, Culture and Sport (DCMS) and the Department for Business, Energy and Industrial Strategy (BEIS).

Jade Cohen, Co-Founder and CPO at Qualis Flow. Qualis Flow works with construction teams to enable them to track and manage their social and environmental impact, and take a data driven approach to improving that impact.

Mark Enzer OBE, CTO of Mott MacDonald and Head of the National Digital Twin Programme at the Centre for Digital Built Britain. The Centre for Digital Built Britain is a partnership between the BEIS and the University of Cambridge. It seeks to understand how the construction and infrastructure sectors can use a digital approach to better design, build, operate and integrate the built environment.

Professor Aidan O’Sullivan is Co-Founder and CTO at Carbon Re, Associate Professor in Energy and AI at the UCL Energy Institute and Programme Chair for AI and Climate Change at the International Research Center on Artificial Intelligence (IRCAI) under the auspices of UNESCO.

About the hosts

Carbon Re is an AI and Climate tech startup focused on decarbonising cement and foundation industries with deep reinforcement learning.

IRCAI is an AI center under the auspices of UNESCO looking to establish a global network of AI centres that are working in the area of sustainable development.

About our Sponsor

EU-funded HumanE-AI-Net project aims to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings.

June 20 – 25 , 2021, Dagstuhl Perspectives Workshop 21252

Human-Centered Artificial Intelligence

Organizers

Virginia Dignum (University of Umeå, SE)
Wendy E. Mackay (INRIA Saclay – Orsay, FR)
John Shawe-Taylor (University College London, GB)
Frank van Harmelen (VU University Amsterdam, NL)

For support, please contact

Annette Beyer for administrative matters

Michael Gerke for scientific matters

Documents

Dagstuhl Perspectives Workshop Schedule (Upload here)

Motivation

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 Workshop is 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.

Specific challenges include: learning complex world models; building effective and explainable machine learning systems; developing human-controllable intelligent systems; adapting AI systems to dynamic, open-ended real-world environments (in particular robots and autonomous systems); achieving in-depth understanding of humans and complex social contexts; and enabling self-reflection within AI systems.

Expected results (outcome) of the workshop

  • Define a coherent research agenda for this rapidly emerging discipline
  • Produce a clear narrative on content and urgency of the discipline to influence policy makers
  • Trigger scientific innovation across the whole spectrum from fundamental research to practical applications
  • Develop synergies across Europe on this emerging research theme and link with similar international initiatives (e.g. at Stanford and MIT ).

The German Entrepreneurship GmbH and the Ludwig-Maximilians-Universität München facilitated a workshop on the topic of "Innovation in AI & AI in Innovation" on the 30th and 31st October 2019 in Munich. The participants were consortium members and guests from industry (health care, automobiles, aircraft, industry 4.0), start-up companies (mainly AI service start-ups) and the scientific community (universities, students, research labs etc.).

The workshop sessions consisted of input lectures, key notes, group works, discussions and exchange formats like speed dating. Thereby, experiences were shared, and a knowledge transfer was facilitated. Active and intensive exchange between the participants was fostered and common challenges and new ideas were identified.