This was the EU-funded HumanE-AI-Net project brings together leading European research centres, universities and industrial enterprises into a network of centres of excellence. Leading global artificial intelligence (AI) laboratories will collaborate with key players in areas, such as human-computer interaction, cognitive, social and complexity sciences. The project is looking forward to drive researchers out of their narrowly focused field and connect them with people exploring AI on a much wider scale. The challenge is to develop robust, trustworthy AI systems that can ‘understand’ humans, adapt to complex real-world environments and interact appropriately in complex social settings. HumanE-AI-Net will lay the foundations for designing the principles for a new science that will make AI based on European values and closer to Europeans.


  • CHETOUANI (Sorbonne University)

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  • Chetouani (Sorbonne)


Time Speaker Description
9:30 Mohamed Chetouani (Sorbonne University) Introduction & Objectives
9:45 Paul Lukowicz (DFKI) HumanE AI NET
10:00 Ioannis Pitas (AI4MEDIA) Lessons learnt from the AI4Media Curriculum formation exercise
10:20 Helena Lindgren (Umeå University) Human-Centered AI Education Addressing Societal Challenges
10:50 Wendy Mackay (INRIA) Participatory Design for Human-Centered AI
11:10 Andrea Aler Tubella ( University) How to teach Trustworthy AI? Challenges and recommendations from expert interviews.
11:30 Loïs Vanhée (Umeå University) Towards a GEDAI academy - Growing Ethical Designers of AI
11:50 Martin Welß (Fraunhofer Institute) AI4EU Experiments (alias VirtualLab in HumaneAI)
12:10 Mohamed Chetouani (Sorbonne University) De-briefing and Conclusions


Human Centric AI should be beneficial to individuals and the society as a whole, trustworthy, ethical and value-oriented, and focused on enhancing user’s capabilities and empowering them to achieve their goals.

Human Centric AI requires new approaches to train current and future actors in AI, human-machine interaction, cognitive science and the social sciences. These approaches are central to HumanE AI Net and should be now translated into Human Centric AI curricula that could be used to derive local curricula.

The focus of this workshop is the design of coherent Human Centric AI curricula by defining disciplines, strategies, methods and learning outcomes aligned with the needs of the society

Zoom Link

ID : 897 0356 1322
Code: 269442


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Time Speaker Description
June 27th 14:00-16:00 Hackathon Opening Session During this session, you will have the opportunity to hear different keynote speakers with focus on the Hackathon challenges and tooling tutorials.
June 27th 16:00-19:00 Hackathon development During the first day, you will start the development of your projects supported by international mentors.
June 28th 09:00-19:00 Hackathon development During the second day, you will start the development of your projects supported by international mentors
June 29th 09:00-15:30 Hackathon development Final phase of development, where you will finish the projects and provide the presentations
June 29th 15:30-17:00 Hackathon Pitching! You will be pitching your projects to an audience and juris
June 29th 17:00-18:00 Awards session During this session we will provide the different Awards.


The EU-IoT Hackathon focuses on “sustainable next generation IoT applications”. We invite you to bring your ideas and to develop solutions that address IoT skills training, IoT sustainable business models, IoT novel technical solutions in the context of 6 challenge domains: IoT interfaces, far Edge, near Edge, infrastructure, and also: a specific challenge domain of the European Factory Platform (EFPF), with focus on manufacturing. It will take place between 27th-29th June 2022, in Munich (Germany). The hackathon is co-located with CONASENSE2022.

The aim of the EU-IoT Hackathon is to disseminate new business ideas, experiments and prototypes as first step to best support next generation sustainable IoT solutions.

The teams shall have the opportunity to develop their ideas within an international flagship environment being mentored by several international experts from the Next Generation IoT (NGIoT) community and being in contact with NGIoT community flagship events.

EU-IoT Challenges Award – UnternehmerTUM Makerspace Award – first prize. Corresponds to 1 year membership for incubation in the UnternehmerTUM Makerspace in Munich for the best project overall, across all domains and project categories.
EU-IoT Challenges Award – IoT Week 2023 Ticket – second prize. One free registration for 1 person of a team, full programme of the IoT Week 2023.
EU-IoT Challenges Award IoT-starter kit – All winning teams (3). IoT starter kit provided to each team member of the 3 winning teams
EFPF Challenges Award – 1st prize. 1 smartphone valued at 600 Euros.
EFPF Challenges Award – 2nd prize. Smart home kit valued at 300 Euros.
EFPF Challenges Award – 3rd prize. IoT starter kit valued at 200 Euros
EFPF Challenges Award – 4th prize. IoT starter it valued at 100 Euros.


Team registration and challenge selection: 15.05.2022
EU-IoT Hackathon preparation event (online): 31.05.2022
Hackathon: 27th-29th 2022, co-located with the CONASENSE 2022 symposium in Munich, Germany

If you are interested:

1. Check the hackathon page, awards and rules and register via DevPost:
2. Register your project, team (1-6 persons) :
3. Join the Hackathon via slack,, where we will be regularly disseminating information about the different tools, and updates to the EFPF catalyser programme and final hackathon event.
4. Contact us to get more information via!

- Organizers: fortiss GmbH (Mitula Donga, Rute C. Sofia); UnternhemerTUM Makerspace GmbH (Florian Küster)

Technical Committees :
-EU-IoT Committee: Rute Sofia (fortiss), Lamprini Kolovou (Martel); John Soldatos (Intracom); Mirko Presser (Aarhus University); Brendan Rowan (Bluspecs)
-EFPF Committee: Mitula Donga (fortiss), Alexandros Nizami (ITI-CERTH), Florian Jasche (Fraunhofer FIT), Ingo Martens (Hanse Aerospace); Carlos Coutinho (Caixa Mágica), Usman Wajid (Information Catalyst)


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Time Speaker Description
9:00 Wolfgang Köhler


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.


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Time Speaker Description
18:00 Welcome and Introduction
18:05 TBA Keynote
18:30 Albrecht Schmidt, Virginia Dignum, Arno De Bois, Marc Hilbert Panel on the European AI Act


Regulation to foster or hinder the AI community? Join our discussion on the proposed European AI Act with Albrecht Schmidt, Virginia Dignum, Arno De Bois and Marc Hilbert on March 3, 18:00 CET (12pm EST, 9am PST).


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Time Speaker Description
18:05 Roberto Di Cosmo Keynote
18:30 Roberto Di Cosmo, Ana Trisovic, Sebastian Feger, Feng Wang Panel: OpenData Business Cases – What is the Value of Data?


Panel on OpenData Business Cases – What is the Value of Data?

18:00 – Welcome, Introduction
Albrecht Schmidt

18:05 – Keynote: Roberto Di Cosmo, Founder and CEO of Software Heritage
Roberto Di Cosmo

18:30 – Panel: OpenData Business Cases – What is the Value of Data?
Roberto Di Cosmo, Ana Trisovic, Sebastian Feger, Feng Wang

19:30 – Wrap up and Closing
Albrecht Schmidt


  • Roel Dobbe (TU Delft)
  • Ana Valdivia (King's College London)

Event Contact

  • Maria Perez-Ortiz (University College London)


Time Speaker Description
Monday 13. June 2022 Workshops, Tutorials and other Events
Tuesday 14. June 2022 Workshops, Tutorials and other Events


HHAI-2022 workshops will provide a platform for discussing Hybrid Human-Artificial Intelligence in more informal settings and for a broad audience. We invite proposals for full-day and half-day events during the two days leading up to the main conference. Registration for the main conference is expected, arrangements for non-traditional conference attendees can be requested.

The goal of workshops is to bring together academics, professionals and users of technology to better understand the socio-technical benefits, risks and limitations that artificial intelligence has when interacting with humans from different perspectives. Thus we encourage workshops presenting broad concepts of human-artificial intelligence interaction or specific cases. We invite submissions for events that foster cross-disciplinary interaction, scientific discourse, and creative and critical reflection, rather than just being mini-conferences. To do so, we offer organizers flexibility for format that best suit the goals of their event. We especially welcome submissions of communities that are usually not featured prominently in artificial intelligence events and conferences.

Important Dates

January 31, 2022: Workshop proposals due
February 7, 2022: Workshop proposal acceptance notification
February 14, 2022: Deadline for announcing the Workshops Call for Papers/Contributions
April 1, 2022: Workshop application deadline for contributions to the workshop
April 29, 2022: Recommended deadline for paper acceptance notification
June 13,14 2022: HHAI2022 Workshops


  • Stefan Schlobach (Vrije Universiteit Amsterdam)
  • Maria Perez-Ortiz (University College London)
  • Myrthe Tielman (TU Delft)
  • Ana Valdivia (King's College London)
  • Roel Dobbe (TU Delft)
  • Shenghui Wang (University of Twente)

Event Contact

  • Maria Perez-Ortiz (University College London)


Time Speaker Description
Monday 13. June 2022 TBC Workshops, Tutorials and other Events
Tuesday 14. June 2022 TBC Workshops, Tutorials and other Events
Wednesday-Friday 15-17. June 2022 TBC Main Research Program


Hybrid Human Artificial Intelligence (HHAI2022) is the first international conference focusing on the study of Artificial Intelligent systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence.

HHAI2022 is organised by the Dutch Hybrid Intelligence Center and the European HumaneAI Network, as the first conference in what we intend to become a series of conferences about Hybrid Human Artificial Intelligence.

HHAI2022 will be an in-person event at the VU Amsterdam, The Netherlands, and will be organized as a single-track conference.

HHAI aims for AI systems that assist humans and vice versa, emphasizing the need for adaptive, collaborative, responsible, interactive and human-centered intelligent systems that leverage human strengths and compensate for human weaknesses, while taking into account social, ethical and legal considerations. This field of study is driven by current developments in AI, but also requires fundamentally new approaches and solutions. In addition, we need collaboration with areas such as HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others. In this first international conference, we invite scholars from these fields to submit their best original, new as well as in progress, visionary and existing work on Hybrid Human-Artificial Intelligence.

Please for more information visit our website at


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Time Speaker Description
14:00 - 14:10 Roberto Trasarti SoBigData++ project: an ecosystem for Ethical Social Mining - This talk introduces SoBigData++ project with the aim of putting in context the participants presenting the main objectives of the project and the consortium of experts involved working on the vertical contextes: Societal Debates and Online Misinformation, Sustainable Cities for Citizens, Demography, Economics & Finance 2.0, Migration Studies, Sports Data Science, Social Impact of Artificial Intelligence and Explainable Machine Learning. Part of this presentation will be the description of an ethical approach to data science which is a pillar of the SoBigData++ project.
14:10 - 14:25 Valerio Grossi SoBigData RI Services - An overview of the SoBigData RI services will be shown including the Exploratories (Vertical research contexts), the resource catalogue, the training area and SoBigData Lab.
14:25 - 14:55 Giulio Rossetti Hands-on JupyterHub service and SoBigData Libraries - This first hands-on session focuses on the libraries and methods developed within the SoBigData consortium. Code examples and case studies will be introduced by leveraging a customized JupyterHub notebook service hosted by SoBigData. Using such a freely accessible coding environment, we will discuss a subset of the functionalities available to SoBigData users to design and run their experiments.
14:55 - 15:10 Massimiliano Assante Hands-on computational engine & technologies - In this second hands-on session, the tutorial will focus on the computational engine provided by SoBigData. Real examples will be presented in order to highlight the functionalities to deploy an algorithm and run it on the cloud.
15:10 - 15:25 Giovanni Comandè Legality Attentive data Science: it is needed and it is possible!
15:25 - 15:35 Francesca Pratesi FAIR: an E-learning module for GDPR compliance and ethical aspects
15:35 - 16:00 Beatrice Rapisarda (moderator) An open discussion to give more details on specific aspects according to the requests of the audience (not already addressed during the tutorial or presentations).


The objectives of the tutorial are to show how SoBigData RI can support data scientists in doing cutting-edge science and experiments. In this perspective, our target audience also includes people interested in big data analytics, computational social science, digital humanities, city planners, wellbeing, migration, sport, health within the legal/ethical framework for responsible data science and artificial intelligence applications. With its tools and services, SoBigData RI promotes the possibilities that new generations of researchers have for executing large-scale experiments on the cloud making them accessible and transparent to a community. Moreover, specialized libraries developed in SoBigData++ project will be freely accessible in order to make cutting edge science in a cross-field environment.

Format: The tutorial will be 3 hours containing:

  • 1 hour of presentations describing the European project SoBigData++, the RI Services, and the Responsible Data Science principles and tools;
  • 45 minutes and half of practical use of the RI with real examples of analysis in a dedicated Virtual research environment;
  • 20 minutes for an open discussion with the attendees on the various aspects presented.


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.


A collective intelligence exercise towards shaping the research questions of Social AI, driven by societal challenges. It is implemented through a structured conversation among inter-disciplinary scientists, looking at the relationship between AI and society from multiple perspectives.

For human-AI scientists and social scientists, the challenge is how to achieve better understanding of how AI technologies could support or affect emerging social challenges, and how to design human-centered AI ecosystems that help mitigate harms and foster beneficial outcomes oriented at the social good.

Social Artificial Intelligence

As increasingly complex socio-technical systems emerge, made of people and intelligent machines, the social dimension of AI becomes evident. Examples range from urban mobility, with travellers helped by smart assistants to fulfill their agendas, to the public discourse and the markets, where diffusion of opinions as well as economic and financial decisions are shaped by personalized recommendation systems. In principle, AI could empower communities to face complex societal challenges. Or it can create further vulnerabilities and exacerbate problems, such as bias, inequalities, polarization, and depletion of social goods.

The point is that a crowd of (interacting) intelligent individuals is not necessarily an intelligent crowd. On the contrary, it can be stupid in many cases, due to network effects: the sum of many individually “optimal” choices is often not collectively beneficial, because individual choices interact and influence each other, on top of common resources. Navigation systems suggest directions that make sense from an individual perspective, but may create a mess if too many drivers are directed on the same route. Personalized recommendations on social media often make sense to the user, but may artificially amplify polarization, echo-cambers, filter bubbles, and radicalization. Profiling and targeted advertising may further increase inequality and monopolies, with harms of perpetuating and amplifying biases, discriminations and “tragedies of the commons”.

The network effects of AI and their impact on society are not sufficiently addressed by AI research, first of all because they require a step ahead in the trans-disciplinary integration of AI, data science, network science and complex systems with the social sciences. How to understand and mitigate the harmful outcomes? How to design “social AI” mechanisms that help towards agreed collective outcomes, such as sustainable mobility in cities, diversity and pluralism in the public debate, fair distribution of resources?


Please register here


  • Dino Pedreschi (University of Pisa)
  • Chiara Boldrini (IIT-CNR)
  • Letizia Milli (University of Pisa)
  • Laura Sartori (University of Bologna)

In collaboration with:

  • SoBigData++, the European Research Infrastructure for Big Data and Social Mining
  • SAI, the CHIST-ERA project “Social eXplainable Artificial Intelligence”
  • XAI, the ERC Advanced Grant "Science and technology for the eXplanation of AI decision making

Event Contact

  • Dino Pedreschi (University of Pisa)


Time Speakers
16:00 – 17:00 Setting-the-stage – plenary session

Fire-start addresses by AI scientists and social scientists:

17:00 – 18:00 Breakout – four parallel brainstorming rooms
  • Bias (video)
    • Mentors: Katharina Kinder-Kurlanda (Univ. Klagenfurt) and Salvatore Ruggieri (Univ. Pisa), Rapporteur: Anna Monreale (Univ. Pisa)
  • Inequality (video)
    • Mentors: Laura Sartori (Univ. Bologna) and Mark Coté (King’s College), Rapporteur: Luca Pappalardo (ISTI-CNR)
  • Polarization (video)
    • Mentors: Kalina Bontcheva (Univ. Sheffield) and János Kertész (Central European Univ. Vienna), Rapporteur: Chiara Boldrini (IIT-CNR)
  • Social good (video)
    • Mentors: Mohamed Chetouani (Sorbonne Univ.), Frank Dignum (Umea Univ.), Andrzej Nowak (Univ. Warsaw), Rapporteur: Michele Bezzi (SAP)
18:00 – 18:30 Restitution – plenary session (video)
reports from the mentors and rapporteurs of the breakout sessions, wrap-up

Meet the speakers

Alex 'Sandy' Pentland
Alex 'Sandy' Pentland

Professor Alex 'Sandy' Pentland directs MIT Connection Science, an MIT-wide initiative, and previously helped create and direct the MIT Media Lab and the Media Lab Asia in India. He is one of the most-cited  computational scientists in the world, and Forbes recently declared him one of the "7 most powerful data scientists in the world" along with Google founders and the Chief Technical Officer of the United States.  He is on the Board of the UN Foundations' Global Partnership for Sustainable Development Data, co-led the World Economic Forum discussion in Davos that led to the EU privacy regulation GDPR, and was central in forging the transparency and accountability mechanisms in the UN's Sustainable Development Goals.  He has received numerous awards and prizes such as the McKinsey Award from Harvard Business Review, the 40th Anniversary of the Internet from DARPA, and the Brandeis Award for work in privacy. He is a member of advisory boards for the UN Secretary General and the UN Foundation,  and the American Bar Association, and previously for Google, AT&T, and Nissan.  He is a member of the U.S. National Academy of Engineering and council member within the World Economic Forum.

Laura Sartori
Laura Sartori

Laura Sartori is an Associate Professor of Sociology at the Department of Political and Social Sciences at the University of Bologna. She holds a Ph.D. in Sociology and Social Research from the University of Trento (2002) and ever since worked on several topics related to the social and political implications of technology: from ICTs to AI. Current projects are about 1. Inequalities and public perception of Artificial Intelligence, 2. Money and Complementary currencies.

 Stuart Russell
Stuart Russell

Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI. He is a recipient of the IJCAI Computers and Thought Award and from 2012 to 2014 held the Chaire Blaise Pascal in Paris. He is an Honorary Fellow of Wadham College, Oxford, an Andrew Carnegie Fellow, and a Fellow of the American Association for Artificial Intelligence, the Association for Computing Machinery, and the American Association for the Advancement of Science. His book "Artificial Intelligence: A Modern Approach" (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. His research covers a wide range of topics in artificial intelligence, with an emphasis on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons.

Mona Sloane
Mona Sloane

Mona Sloane is a sociologist working on design and inequality, specifically in the context of AI design and policy. She is a Senior Research Scientist at the NYU Center for Responsible AI, an Adjunct Professor at NYU’s Tandon School of Engineering, a Fellow with NYU’s Institute for Public Knowledge (IPK) and The GovLab, and the Director of the *This Is Not A Drill* program on technology, inequality and the climate emergency at NYU’s Tisch School of the Arts. She is principal investigator on multiple research projects on AI and society, and holds an affiliation with the Tübingen AI Center at the University of Tübingen in Germany. Mona also is the conveyor of the IPK Co-Opting AI series and serves as editor of the technology section at Public Books. Follow her on Twitter @mona_sloane.

Dino Pedreschi
Dino Pedreschi

Dino Pedreschi is a professor of computer science at the University of Pisa, and a pioneering scientist in data science and artificial intelligence. He co-leads with Fosca Giannotti the Pisa KDD Lab - Knowledge Discovery and Data Mining Laboratory, a joint research initiative of the University of Pisa and the Italian National Research Council - CNR. His research focus is on big data analytics and mining, machine learning and AI, and their impact on society: human mobility and sustainable cities, social network analysis, complex social and economic systems, data ethics, discrimination-preventing and privacy-preserving data analytics, explainable AI. He is currently shaping the research frontier of Human-centered Artificial Intelligence, as a leading figure in the European network of research labs Humane-AI-Net (scientific director of the line “Social AI”). He is a founder of, the European H2020 Research Infrastructure “Big Data Analytics and Social Mining Ecosystem” Dino is currently the Italian member of the Responsible AI working group of GPAI – the Global Partnership an AI, a member of the OECD Network of Experts in AI and the coordinator of the working group “Big Data & AI for Policy” of the Italian Government “data-driven” Taskforce for the Covid-19 emergency. Twitter: @DinoPedreschi


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The total duration of the video is 2 hours 40 minutes.

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Event Description

Recent developments have enabled humans and AI-based systems to cooperatively work towards joint goals in interactive and collaborative settings. They have not only showcased various application domains and use-cases for such interactive capabilities but also highlighted several issues and opportunities. Experts from Psychology, HCI, AI, and Computer Science will discuss some current progress, challenges, opportunities, and a vision for the future of such systems from a human-centered perspective.


Time Speaker Description
14:00–14:05 Kashyap Todi Welcome
14:05–14:30 Wendy Mackay Plenary Talk: Human–Computer Partnerships
14:30–14:55 Janet Rafner & Jacob Sherson Plenary Talk: Hybrid Intelligence
14:55–15:00 Break
15:00–15:10 Alessandro Saffiotti Short Talk: Human-AI in artistic co-creation
15:10–15:20 Janin Koch Short Talk: Visual Design Ideation with Machines
15:20–15:30 Silvia Miksch Short Talk: Guide Me in the Analysis: How can Visual Analytics enriched by guidance contribute to gaining insights and decision making
15:30–15:40 Mohamed Chetouani Short Talk: Social Learning Agents: Role of Human Behaviors
15:40–16:00 Panel Discussion
16:00 Event Close

Meet the Speakers and Organisers


Human–Computer Partnership (Wendy Mackay)

In this talk, Wendy Mackay will talk about moving beyond the traditional 'human-in-the-loop' perspective, which focuses on using human input to improve algorithms. She will share her vision for 'computer-in-the-loop', where intelligent algorithms serve to enhance human capabilities.

Hybrid Intelligence: First Rate Humans, Not Second Class Robots (Janet Rafner & Jacob Sherson) 

In light of the recent deep learning driven success of AI in both corporate and social life there has been a growing fear of human displacement and a related call to develop IA (intelligence augmentation) rather than pure AI. In reality, most current AI applications have a significant human-in-the-loop (HITL) component and are therefore arguably more IA than AI already. From here, there are currently two trends in the field. In one trend, increasing machine autonomy is pursued, first by placing the human-on-the-loop in order to verify the result of the machine computation and then by hoping to take the human completely out of the loop, as in the pursuit of artificial general intelligence. Two main challenges of this approach are a) the value-alignment problem (how do we ensure that the machine satisfies human preferences when we often cannot even express or agree on these ourselves) and b) the extensive human deskilling that often accompanies algorithmic advances. In our talk, we will discuss how these two challenges may potentially be overcome by the second trend: the pursuit of increasingly intertwined human-machine operation. We will present and give examples of an operational and ambitious framework, hybrid intelligence (HI), in which the two interact synergistically and continually learn from each other.

Human-AI Collaboration in Artistic Co-creation (Alessandro Saffiotti)

Live artistic performance, like music, dance or acting, provides an excellent domain to observe and analyze the mechanisms of human-human collaboration. In this short talk, I use this domain to study human-AI collaboration. I propose a model for collaborative artistic performance, in which an AI system mediates the interaction between a
human performer and an artificial one. I will illustrate this model with case studies involving different combinations of human musicians, human dancers, robot dancers, and a virtual drummer.

Visual Design Ideation with Machines (Janin Koch)

In this short talk, Janin Koch will talk about 'MayAI', 'ImageSense', and her current postdoctoral research on how humans and machines can collaborate during visual design ideation, and how this collaboration enhances the creative process and results.

Guide Me in the Analysis: How can Visual Analytics enriched by guidance contribute to gaining insights and decision making (Silvia Miksch)

Visual Analytics is "the science of analytical reasoning facilitated by interactive visual interfaces." Guidance is a "computer-assisted process that aims to actively resolve a knowledge gap encountered by users during an interactive visual analytics session.” I will illustrate how guidance-enriched Visual Analytics contribute to gaining insights and decision making.

Social Learning Agents: Role of Human Behaviors (Mohamed Chetouani)

There are increasing situations in which humans and AI systems are acting, deciding and/or learning. In this short talk, we discuss approaches and models able to capture specific strategies of humans while they are teaching agents. We will see how social learning based approaches make it possible to take into account such strategies in the development of interactive machine learning techniques and in particular when it comes to social robotics.


The Humane AI Net project funded by the European Union Horizon 2020 program aims to bring together the European AI community to develop the scientific foundations and technological breakthroughs needed to shape the AI revolution in a direction that is beneficial to humans both individually and societally, and that adheres to European ethical values and social, cultural, legal, and political norms. Key specific questions that the project addresses are:

  • AI systems that „understand” humans,
  • AI systems that can interact in complex social settings
  • AI systems that enhance  human capabilities
  • AI systems that empower both individuals and society as a whole carefully balancing individual benefits and social impact of their functionality
  • AI systems that respect human autonomy and self-determination
  • Ethics and Legal Protection “by design” in complex dynamic AI systems