CRCS Lunch Seminar

Talk Title: From content moderation to school assignment: What do theories of justice teach us about design? Abstract: Computational systems have a complex relationship with justice: they may be designed with the intent to promote justice, tasked to...

Title: Trustworthy Human-AI Partnerships Abstract: Recent advances in AI, Machine learning and Robotics have significantly enhanced the capabilities of machines. Machine intelligence is now able to support human decision making, augment human capabilities...

“Using healthcare databases to learn what works when no randomized trials exist” Making clinical decisions among several courses of action requires knowledge about their causal effects. Randomized trials are the preferred method to quantify those causal...

The myopia of model centrism AI models seek to intervene in increasingly higher stakes domains, such as cancer detection and microloan allocation. What is the view of the world that guides AI development in high risk areas, and how does this view regard...

Can Machine Learning and Mobile Phone Data Improve the Targeting of Humanitarian Assistance? Targeting is a central challenge in the administration of anti-poverty programs: given available data, how does one rapidly identify the individuals and families...

Designing Optimal Voting Rules A central task in voting is to aggregate the ranked preferences of voters over a set of alternatives (candidates) to select a winning alternative. However, despite centuries of research, the natural question of which voting...

Will algorithms save our planet and will we regret it when they do? We live in a time of unprecedented global environmental and ecological change: a warming planet, vanishing biodiversity, overfishing and intensifying ecosystem change from fire to draught...

Efficient and targeted COVID-19 border testing via reinforcement learning Throughout the COVID-19 pandemic, countries relied on a variety of ad-hoc border control protocols to allow for non-essential travel while safeguarding public health: from...

Title: Algorithmic Information Design: Computability, Learnability and Applicability to Societal Challenges Abstract: The celebrated field of mechanism design studies how a system designer can design agents' incentives, and consequently their actions, in...

Title: How can AI improve the impact of biodiversity conservation Abstract: Conservation practitioners have to deal with a multitude of different disciplines. These include subjects such as conservation planning which help identify where conservation...