Perspectives on AI
Previous events
AI and Democracy: opportunities and risks - February 21, 2024
The recent developments in AI, notably generative AI, have invigorated discussion on the role and impact of AI on democracy. On the one hand, AI is an opportunity to improve democratic processes in our societies, for example AI can help finding sources of misinformation, and help citizens to better understand politics and engage more easily in democratic debate. On the other hand, it raises concerns about AI undermining democracy, precisely because the tool can be used to spread false information and influence public behaviour.
During this event, we aim to bring together academics, industries, NGOs and politicians to discuss the opportunities and risks of AI for democracy
Replay
AI for Security and Privacy - 11 October, 2023
This symposium explores how AI impacts security, privacy, law and ethics. It aims to understand what can we do to resolve the issues and risks posed by AI, while still benefiting from its power. The symposium aims to be a discussion and collaboration platform between academic research and applied industry, facilitating technology transfer and innovative solutions.
The symposium consists of three sessions, each including one keynote and several short presentations. The first session centers on security vulnerabilities of AI models and general privacy concerns. The second session delves into the legal and ethical aspects of AI, exploring such issues like accountability, transparency, and fairness. An interesting question is what impact on society AI has and will have in the future. The third session highlights the intersection of AI, health, and medical science, particularly the security issues associated with AI in healthcare. The focus is on the potential risks and benefits of AI adoption in the medical field, including patient personal information protection and the security of medical records.
Replay
Beyond deep learning: Learning from small and heterogeneous data - 14 July, 2023
In the past decade, deep learning became the predominant paradigm for thinking about Artificial Intelligence. However, there are many relevant scenarios where traditional deep learning methods alone are not fit-for-purpose, where large training data is not available or data is too heterogeneous and multi-modal. This compounds with the need for many critical application areas that require interpretability to be at its center, or the lack of resources to build large models. Examples where these requirements are the norm are abundant: from clinical trials, through the analysis of complex customer / behavioural / environmental data, to policy making.
In this Perspectives on AI edition, we will discuss emerging methods which are outside the traditional deep learning and statistics toolbox, aiming to address these challenges. Under the ethos of 'Doing more with less', invited speakers from academia and industry will discuss how recent methodological developments in AI and statistical methods can address existing challenges and deliver new opportunities for making sense of an increasingly complex data landscape.
The event is targeted towards academics, data scientists, practitioners and executives who need to make sense of complex, heterogeneous and small data and it aims to discuss the following questions:
What are the most promising methods for interpreting distributed and heterogeneous data/evidence?
How can these methods address grand societal challenges such as evidence-based policy making, personalised healthcare and predicting the impact of environmental changes?
What are the opportunities for creating value in strategic areas for Switzerland such as Healthcare and Finance?
Replay
Data Science in Oncology - 25 Jan, 2023
This symposium will discuss how data science and AI support the research and development in oncology, and what are the current limitations, such as data sharing and privacy, or the interpretability of the algorithms, as well as what can be done to accelerate the research.
Keynote speakers are Prof. Olivier Michielin (Head of the Center of Precision Oncology, Department of Oncology, CHUV), Dr. Jean Hausser (Assistant Professor, Karolinska Institute), Dr. Slavica Dimitrieva (Associate Director and Senior Principal Scientist, Novartis Institute for Biomedical Research), and Dr. Maria Rodriguez Martinez (Group Leader, IBM). The round-table will be animated by Prof. Benoit Dubuis (Director, Fondation Campus Biotech Geneva) to which Prof. Elisa Oricchio (Director of ISREC and Professor at EPFL) and members of the Oncology in Valais Hospital will take part.