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Found 10 papers, 3 papers with code
Decongestion by Representation: Learning to Improve Economic Welfare in Marketplaces
The power of a platform is limited to controlling representations -- the subset of information about items presented by default to users.
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
In September 2016, Stanford's "One Hundred Year Study on Artificial Intelligence" project (AI100) issued the first report of its planned long-term periodic assessment of artificial intelligence (AI) and its impact on society.
The Rise of AI-Driven Simulators: Building a New Crystal Ball
These advances may lead to a new era in computational simulation, in which sensors of many kinds are used to produce vast quantities of data, AI methods identify patterns in those data, and new AI-driven simulators combine machine-learned and mathematical rules to make accurate and actionable predictions.
Artificial Intelligence & Cooperation
There is a vital need for research in "AI and Cooperation" that seeks to understand the ways in which systems of AIs and systems of AIs with people can engender cooperative behavior.
Weighted Tensor Completion for Time-Series Causal Inference
We model the potential outcomes as a three-dimensional tensor of low rank, where the three dimensions correspond to the agents, time periods and the set of possible histories.
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness
What is the best way to define algorithmic fairness?
Opinion Dynamics with Varying Susceptibility to Persuasion
This body of literature suggests an interesting perspective on theoretical models of opinion formation by interacting parties in a network: in addition to considering interventions that directly modify people's intrinsic opinions, it is also natural to consider interventions that modify people's susceptibility to persuasion.
Bayesian fairness
We consider the problem of how decision making can be fair when the underlying probabilistic model of the world is not known with certainty.
Fair Division via Social Comparison
A general result is that for any two distinct graphs on the same set of nodes and an allocation, there exists a set of valuation functions such that the allocation is locally proportional on one but not the other.
On Sex, Evolution, and the Multiplicative Weights Update Algorithm
We show that the marginal allele distributions induced by the population dynamics precisely match the marginals induced by a multiplicative weights update algorithm in this general setting, thereby affirming and substantially generalizing these earlier results.
