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Lecture

General Information: Course Organization and Topic Selection

In course

HUM-367: Risk governance

Le cours étudie les risques et bénéfices liés aux nouvelles technologies, en appliquant les principes de la gouvernance des risques. Il discute en particulier l'importance des approches interdisciplinaires, de la consultation des différents acteurs et de l ...

Description

This lecture provides general information on the course organization, including the importance of choosing a topic early, accessing Moodle for course-related information, and guidelines for selecting and presenting topics such as risk management, climate change, AI, and pandemics.

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Instructor

Marie-Valentine Renée Agnès Florin

Marie-Valentine Florin is the executive director of the International Risk Governance Center. She organises IRGC collaborative activities, focusing in particular on the role of IRGC as a multi-stakeholder platform and a convening place at the interface between science and public policy. She joined the International Risk Governance Council (IRGC Foundation) www.irgc.org in 2006.From 2000-2006, she worked for local authorities, helping them develop and implement strategies for sustainable development, and for philanthropic and humanitarian organisations. She spent the first part of her career (1984-1999) in an international socio-cultural research and marketing consulting firm. Marie-Valentine graduated from Science Po in Paris (public policy and management), and then earned post-graduate diplomas in marketing strategy, sustainable development and environmental diplomacy. Her current involvement in IRGC activities is mostly related to:- systemic risks and transitions, governance of risks related to emerging and converging technologies- digital policy, specific risks related to machine learning- precision medicine- synthetic biology- nanotechnology- climate engineering Member of Advisory Committee to the World Economic Forum Global Risk Report 2015-2021; Fellow of the Society of Risk Analysis (SRA).

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Related concepts (32)

Security

Security is protection from, or resilience against, potential harm (or other unwanted coercion) caused by others, by restraining the freedom of others to act. Beneficiaries (technically referents) of security may be of persons and social groups, objects and institutions, ecosystems or any other entity or phenomenon vulnerable to unwanted change. Security mostly refers to protection from hostile forces, but it has a wide range of other senses: for example, as the absence of harm (e.g.

Pandemic

A pandemic (paen'dEmIk ) is an epidemic of an infectious disease that has spread across a large region, for instance multiple continents or worldwide, affecting a substantial number of individuals. Widespread endemic diseases with a stable number of infected individuals such as recurrences of seasonal influenza are generally excluded as they occur simultaneously in large regions of the globe rather than being spread worldwide. Throughout human history, there have been a number of pandemics of diseases such as smallpox.

Deepfake

Deepfakes (portmanteau of "deep learning" and "fake") are synthetic media that have been digitally manipulated to replace one person's likeness convincingly with that of another. Deepfakes are the manipulation of facial appearance through deep generative methods. While the act of creating fake content is not new, deepfakes leverage powerful techniques from machine learning and artificial intelligence to manipulate or generate visual and audio content that can more easily deceive.

Influenza pandemic

An influenza pandemic is an epidemic of an influenza virus that spreads across a large region (either multiple continents or worldwide) and infects a large proportion of the population. There have been six major influenza epidemics in the last 140 years, with the 1918 flu pandemic being the most severe; this is estimated to have been responsible for the deaths of 50–100 million people. The most recent, the 2009 swine flu pandemic, resulted in under 300,000 deaths and is considered relatively mild.

Audio deepfake

An audio deepfake (also known as voice cloning) is a type of artificial intelligence used to create convincing speech sentences that sound like specific people saying things they did not say. This technology was initially developed for various applications to improve human life. For example, it can be used to produce audiobooks, and also to help people who have lost their voices (due to throat disease or other medical problems) to get them back. Commercially, it has opened the door to several opportunities.

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