Lectures related to Digital Humanitarian Action

Digital Transformation in Humanitarian Action

Explores the role of digital technologies in humanitarian action and the importance of understanding technology for professionals in various sectors.

Security of Heterogeneous Systems for AI Applications

Presents an interview with Dina Mahmoud, focusing on securing heterogeneous systems for AI applications and inspiring women in computer science.

EPFL Computer Science Overview

Covers EPFL's Computer Science School, faculty expertise, EDIC program requirements, and post-PhD career paths.

EPFL IC Faculty Overview

Gives an overview of EPFL's School of Computer and Communication Sciences, highlighting its top-ranked faculty and research areas.

Artificial Intelligence and Machine Learning

Covers artificial intelligence, machine learning, blockchain, and technology applications.

Data-Driven Insights: NLP and AI Applications

Explores building OS for heterogeneous hardware, data movement efficiency, AI advancements, and NLP challenges.

Humanitarian AI: Risks and Opportunities

Delves into the risks and opportunities of using AI in humanitarian aid, emphasizing critical thinking and accountability.

Digital Inclusion: Challenges and Solutions

Explores challenges of digital inclusion and emphasizes human-centered design approach.

Calcul and algorithms: first algorithm example

Covers finding the maximum value in a list and related problems.

PhD Program Overview: EPFL Computer Science

Provides an overview of the PhD program in Computer Science at EPFL, focusing on research areas, industrial collaborations, and diverse career paths.

Provably Beneficial AI: Towards Human-level Understanding

Explores provably beneficial AI, aligning AI goals with human preferences and behaviors, illustrating complexities through examples like image classification and fetching coffee.

Master in IC: Ariane and the Robot Fish

Explores creating a robot fish inspired by animal locomotion for inspection tasks.

TILT EPFL-UNIL: Interdisciplinary Learning and Teaching

Introduces the TILT course, emphasizing reproducibility, data construction, and ethical considerations in a quantified world.

Machine Learning for Physicists/Chemists: Image Classification

Covers the fundamentals of machine learning for physicists and chemists, focusing on image classification tasks using artificial intelligence.

Normative News Recommender Systems

Explores challenges in developing normative news recommender systems and the ethical considerations in AI, journalism, and diversity.

Ethical Issues in AI

Explores the ethical challenges of artificial intelligence, including explainability, security, singularity, and societal impact.

Machine's Mission

Explores ethical dilemmas faced by a machine designed to ensure survival.

Ethics of AI: Update Al Act

Explores the ethical implications and risks of AI, focusing on the Update Al Act and high-risk AI systems.

Autonomous Weapons: The Future of Warfare

Delves into the development and implications of autonomous weapons, emphasizing the urgent need for ethical considerations and regulation.

Generative AI and Reinforcement Learning: Future Directions

Explores advancements in generative AI and reinforcement learning, focusing on their applications, safety, and future research directions.