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Martin Gilbert

L’intelligence artificielle s’est immiscée dans notre quotidien, dans notre économie et même dans notre démocratie. Comme le dit, la Déclaration de Montréal, c’est un tournant majeur. "Pour la première fois dans l’histoire de l’humanité, il est possible de créer des systèmes autonomes capables d’accomplir des tâches complexes que l’on croyait réservées à l’intelligence naturelle."

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L’intelligence artificielle s’est immiscée dans notre quotidien, dans notre économie et même dans notre démocratie. Comme le dit, la Déclaration de Montréal, c’est un tournant majeur. "Pour la première fois dans l’histoire de l’humanité, il est possible de créer des systèmes autonomes capables d’accomplir des tâches complexes que l’on croyait réservées à l’intelligence naturelle."

Les développements récents de l’IA, que ce soient avec les chatbots, les voitures autonomes, les algorithmes de recommandations ou les logiciels de prédiction des crimes, soulèvent des questions inédites en éthique de la technique. Comment, par exemple, programmer une voiture autonome pour affronter un dilemme tragique? Un chatbot devrait-il “mentir” dans certaines situations? Comment éviter qu’un algorithme privilégie certains groupes sociaux ?

Plus largement, l’éthique de l’IA concerne aussi l’évaluation morale des systèmes d’IA et de nos relations avec eux. Il s’ensuit des questions très variées. Comment vivre avec les robots et les algorithmes? Faut-il craindre ou espérer qu’ils remplacent les humains ou les animaux? Faut-il leur donner des droits? Que penser de la reconnaissance faciale ou de la publicité personnalisée? L’IA peut-elle nous aider à lutter contre les crises environnementales? Et comment savoir si un système d’IA est moralement acceptable?

Ce cours d’introduction se divise en trois modules: le premier fournit les connaissances de bases en éthique, le second développe différentes questions en éthique de l’IA et le troisième s’intéresse à des enjeux éthiques concrets rencontrés lors de la programmation d’algorithmes.

Le cours est constitué de lectures et de vidéos obligatoires (disponibles dans un manuel dédié) ainsi que de 19 capsules d’une vingtaine de minutes présentées par le philosophe et chercheur en éthique de l’IA, Martin Gibert.

What's inside

Learning objectives

  • Comprendre les principaux enjeux en éthique de l’ia.
  • Mobiliser dans vos analyses les trois théories morales et les réflexions d’auteurs et d’autrices contemporaines.
  • Expliquer et mobiliser les concepts de base en l’éthique de l’ia et des algorithmes.
  • Évaluer des situations potentiellement problématiques en vous appuyant sur des études de cas (clearview ai, compas, youtube…).
  • À la fin de ce cours, vous serez en mesure de :

Syllabus

Module 1 [introduction]
Qu’est-ce que l’éthique de l’IA?
Éléments de métaéthique
Les trois théories morales
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Assumes knowledge of basic ethics, which may not be possessed by all beginners
Examines the ethical implications of AI and algorithms, which are highly relevant to society and industry
Develops foundational knowledge of ethics and its application to AI and algorithms
Provides opportunities to apply ethical concepts to real-world AI and algorithm challenges
Taught by a leading philosopher and researcher in AI ethics, Martin Gilbert

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Reviews summary

Éthique de l'ia : clarté et pertinence essentielles

Selon les apprenants, ce cours est une introduction fondamentale et captivante à l'éthique de l'IA. La majorité des étudiants louent la clarté et le charisme de l'instructeur, Martin Gibert, qui rend les concepts complexes facilement compréhensibles. Les capsules vidéo sont bien structurées et les études de cas concrètes sont jugées très pertinentes et éclairantes, offrant une base solide pour comprendre les défis éthiques actuels. Bien qu'il soit un excellent point de départ pour les débutants, quelques retours mentionnent un manque de profondeur pour les profils plus avancés ou ceux cherchant des applications techniques plus poussées, notant une orientation plus philosophique que pratique. Les lectures complémentaires sont de haute qualité, enrichissant le contenu.
Le cours privilégie la théorie à la pratique.
"J'espérais plus d'applications pratiques pour les développeurs. La partie sur les trois théories morales est un peu longue si j'ai déjà des connaissances."
"J'aurais aimé voir plus d'exemples concrets de mise en œuvre ou de solutions techniques aux dilemmes présentés, mais ce n'est pas le focus du cours qui est plus philosophique."
"Le cours est un peu trop théorique à mon goût."
Idéal pour débutants, moins pour experts.
"J'ai trouvé que certaines parties manquaient de profondeur pour quelqu'un qui a déjà des bases en éthique ou en philosophie. L'aspect 'introduction' est très prononcé."
"Très bonne introduction, pertinente et bien expliquée. J'ai beaucoup appris."
"Pour ceux qui n'ont aucune base en philosophie, c'est parfait. Peut-être un peu répétitif sur certains points si j'ai déjà lu sur le sujet."
Vidéos bien découpées et lectures enrichissantes.
"Les capsules vidéo sont bien structurées et les lectures complémentaires enrichissent énormément la matière."
"C'est très bien structuré et le matériel de lecture est de haute qualité."
"Le manuel est très utile."
"Le rythme est bon."
Sujets essentiels abordés avec grande clarté.
"Ce cours est absolument fascinant et essentiel pour comprendre les enjeux actuels de l'IA."
"Les explications sont limpides, même pour des concepts complexes. J'ai été bluffé par la clarté des arguments."
"Les exemples sont pertinents (voitures autonomes, COMPAS). C'est très bien structuré."
"Le contenu est pertinent et d'actualité. C'est une excellente porte d'entrée pour la philosophie de l'IA."
Martin Gibert est un enseignant clair et captivant.
"Martin Gibert est un excellent pédagogue, très clair et captivant."
"Le professeur Gibert rend l'éthique de l'IA compréhensible et passionnante."
"Les explications sont limpides, même pour des concepts complexes. Le professeur Gibert est un orateur hors pair."
Peu d'exercices pratiques ou de débats.
"J'aurais aimé un peu plus d'exercices pratiques ou de débats interactifs."
"Les discussions sur le forum étaient limitées, ce qui aurait pu compenser le manque d'interactivité."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction à l'éthique de l’IA with these activities:
Review basics of ethics
Solidify your understanding of the core concepts and terms used when discussing the ethical implications of artificial intelligence.
Browse courses on Ethics
Show steps
  • Review lecture notes from previous ethics courses or read an introductory text on ethics.
  • Identify the main ethical theories and their key tenets.
  • Consider how these theories might apply to different scenarios involving artificial intelligence.
Show all one activities

Career center

Learners who complete Introduction à l'éthique de l’IA will develop knowledge and skills that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineers are responsible for designing, developing, and deploying machine learning models. As AI becomes more prevalent, the need for Machine Learning Engineers who can build and maintain AI systems will only increase. This course can help you develop the skills you need to become a Machine Learning Engineer. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Ethical Hacker
Ethical Hackers are responsible for finding and exploiting vulnerabilities in computer systems so that they can be fixed before they can be exploited by malicious actors. As AI becomes more prevalent, the need for Ethical Hackers who can identify and mitigate potential security risks will only increase. This course can help you develop the skills you need to become an Ethical Hacker. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to identify and mitigate security risks.
Research Scientist
Research Scientists are responsible for conducting research and developing new technologies. As AI becomes more prevalent, the need for Research Scientists who can understand and use AI to solve complex problems will only increase. This course can help you develop the skills you need to become a Research Scientist. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Al Data Analyst
Artificial intelligence (AI) is rapidly changing the world, and with it, the job market. AI professionals are in high demand, and the Al Data Analyst is one of the most sought-after roles. Al Data Analysts use their knowledge of AI and data science to collect, analyze, and interpret data to help businesses make better decisions. This course can help you develop the skills you need to become an Al Data Analyst. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Data Scientist
Data Scientists are responsible for collecting, analyzing, and interpreting data to help businesses make better decisions. As AI becomes more prevalent, the need for Data Scientists who can understand and use AI to make sense of data will only increase. This course can help you develop the skills you need to become a Data Scientist. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Policy Analyst
Policy Analysts are responsible for developing and evaluating policies. As AI becomes more prevalent, the need for Policy Analysts who understand the ethical implications of AI and can use AI to inform policy decisions will only increase. This course can help you develop the skills you need to become a Policy Analyst. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Product Manager
Product Managers are responsible for defining, developing, and launching new products. As AI becomes more prevalent, the need for Product Managers who understand the ethical implications of AI and can use AI to create innovative new products will only increase. This course can help you develop the skills you need to become a Product Manager. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Software Engineer
Software Engineers are responsible for designing, developing, and testing software applications. As AI becomes more prevalent, the need for Software Engineers who can build and maintain AI systems will only increase. This course can help you develop the skills you need to become a Software Engineer. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Journalist
Journalists are responsible for informing the public about important issues. As AI becomes more prevalent, the need for Journalists who understand the ethical implications of AI and can use AI to report on complex issues will only increase. This course can help you develop the skills you need to become a Journalist. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Lawyer
Lawyers are responsible for representing clients in legal matters. As AI becomes more prevalent, the need for Lawyers who understand the ethical implications of AI and can use AI to help their clients will only increase. This course can help you develop the skills you need to become a Lawyer. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Doctor
Doctors are responsible for diagnosing and treating patients. As AI becomes more prevalent, the need for Doctors who understand the ethical implications of AI and can use AI to improve patient care will only increase. This course can help you develop the skills you need to become a Doctor. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Teacher
Teachers are responsible for educating students. As AI becomes more prevalent, the need for Teachers who understand the ethical implications of AI and can use AI to improve student learning will only increase. This course can help you develop the skills you need to become a Teacher. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Politician
Politicians are responsible for making decisions that affect the lives of their constituents. As AI becomes more prevalent, the need for Politicians who understand the ethical implications of AI and can use AI to make better decisions will only increase. This course can help you develop the skills you need to become a Politician. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Entrepreneur
Entrepreneurs are responsible for starting and running their own businesses. As AI becomes more prevalent, the need for Entrepreneurs who understand the ethical implications of AI and can use AI to innovate will only increase. This course can help you develop the skills you need to become an Entrepreneur. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.
Nonprofit Leader
Nonprofit Leaders are responsible for managing and leading nonprofit organizations. As AI becomes more prevalent, the need for Nonprofit Leaders who understand the ethical implications of AI and can use AI to improve their organizations' impact will only increase. This course can help you develop the skills you need to become a Nonprofit Leader. You'll learn about the ethical implications of AI, the different types of AI algorithms, and how to use AI to solve real-world problems.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction à l'éthique de l’IA.
Provides an excellent overview of the ethical issues related to artificial intelligence (AI). Coeckelbergh provides a clear and accessible discussion of the main ethical issues and challenges raised by AI, including issues related to privacy, fairness, transparency, and responsibility.
Taking an interdisciplinary approach to robotics, this book will provide the reader with insights from researchers in fields ranging from philosophy, computer science, economics, psychology, political science, and law. It will help the reader understand ethical issues surrounding AI through the lens of robotics.
Guide pratique pour la conception d’algorithmes éthiques, fournissant des outils et des techniques pour atténuer les biais et promouvoir l’équité dans les systèmes d’IA.
Great resource for any reader who wants to understand the ethical issues surrounding algorithmic bias and discrimination. It will also help contextualize some of the ethical issues surrounding AI more generally.
Provides a practical framework for developing and deploying AI systems in a responsible and ethical manner.
Ouvrage provocateur qui explore les implications éthiques et existentielles de la création d’une IA superintelligente, défendant la nécessité d’une action préventive.
Presents an overview of the ethical issues surrounding AI and also looks towards the future of AI and ethics. It is one of the few books that takes such a forward-looking approach to AI ethics.
Enquête sur l’utilisation de l’IA dans les systèmes de justice pénale et de protection sociale, révélant les biais et les préjudices inhérents qui peuvent perpétuer les inégalités sociales.
Exploration de la question de l’alignement entre les objectifs des systèmes d’IA et les valeurs humaines, soulignant les risques potentiels et les stratégies d’atténuation.
Exploration spéculative de l’avenir de l’humanité à l’ère de l’IA, abordant les implications éthiques et existentielles des progrès technologiques rapides.
Ouvrage qui examine les implications de l’IA sur le marché du travail, en explorant les opportunités et les défis de la collaboration homme-machine.

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