Experts agree that artificial intelligence is as disruptive as electricity or the Internet. But what does that mean for you and your mid-sized company? Which use cases are really relevant for you? And what do you need to do to actually implement them? We would like to discuss these questions with you again this year and provide answers.
The aim of the event is to accompany small and medium-sized companies in particular as they enter the field of artificial intelligence. The benefits and potentials of the technology for your company will be highlighted, and entrepreneurs who have already successfully tackled the topic of artificial intelligence will show how AI can succeed.
Expect leading AI experts and users to share their knowledge with you, contacts to support you with your projects and questions, and interactive formats where you can learn how to harness the potential of AI for your business today.
Making artificial intelligence human-centric - the first post-pandemic consortium meeting to be held in person
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.
Designing Human Centric AI Curricula
The focus of this workshop is the design of coherent Human Centric AI curricula.
Lessons learnt from the AI4Media Curriculum formation exercise
Helena Lindgren (Umeå University)
Human-Centered AI Education Addressing Societal Challenges
Wendy Mackay (INRIA)
Participatory Design for Human-Centered AI
Andrea Aler Tubella ( University)
How to teach Trustworthy AI? Challenges and recommendations from expert interviews.
Loïs Vanhée (Umeå University)
Towards a GEDAI academy - Growing Ethical Designers of AI
Martin Welß (Fraunhofer Institute)
AI4EU Experiments (alias VirtualLab in HumaneAI)
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
ID : 897 0356 1322
e EU-IoT Hackathon focuses on “sustainable next generation IoT applications”.
June 27th-29th 2022 Munich, Germany
co-located to the international CONASENSE2022 symposium
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
During the first day, you will start the development of your projects supported by international mentors.
June 28th 09:00-19:00
During the second day, you will start the development of your projects supported by international mentors
June 29th 09:00-15:30
Final phase of development, where you will finish the projects and provide the presentations
June 29th 15:30-17:00
You will be pitching your projects to an audience and juris
June 29th 17:00-18:00
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: https://eu-iot-hackathon.devpost.com/
2. Register your project, team (1-6 persons) : https://forms.gle/5BvJL8dj7Zk4S3EX9
3. Join the Hackathon via slack, https://eu-iot-hackathon.slack.com/, 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 email@example.com!
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.
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).
Panel on OpenData Business Cases – What is the Value of Data?
A discussion on Data Economy for Europa: How can we monetize OpenData?
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.
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
The first International Conference on Hybrid Human-Artificial Intelligence (HHAI)
HHAI2022 is the first international conference focusing on the study of Artificial Intelligent system Hybrid Human Artificial Intelligence
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 https://www.hhai-conference.org/
The SoBigData++ Research Infrastructure: a hands-on tutorial
The goal of this tutorial is to show how the SoBigData RI can support Humane-AI scientists in doing cutting edge science and experiments.
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
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
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
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
Legality Attentive data Science: it is needed and it is possible!
15:25 - 15:35
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.
The Role of AI and Digital Twins in Decarbonising Construction
How we can set an ambitious and realistic path to reach zero-carbon construction by 2050 and the role that AI can play
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?
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 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 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 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 http://kdd.isti.cnr.it, 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 SoBigData.eu, the European H2020 Research Infrastructure “Big Data Analytics and Social Mining Ecosystem” www.sobigdata.eu. 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