The current advances in Artificial Intelligence (AI) are likely to have profound economic
implications and bring about new trade‐offs, thereby posing new challenges from a …

This work identifies 18 foundational challenges in assuring the alignment and safety of large
language models (LLMs). These challenges are organized into three different categories …

From fake social media accounts and generative artificial intelligence chatbots to trading
algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and …

The advent of artificial intelligence (AI)-based technologies has opened new opportunities
for manufacturers to maintain their technological edge and address pressing societal …

We document new facts about pricing technology using high-frequency data, and we
examine the implications for competition. Some online retailers employ technology that …

We calculate the time path of prices generated by algorithmic pricing games that differ in
their learning protocols. Asynchronous learning occurs when the algorithm only learns about …

Prices are increasingly set by algorithms. One concern is that intelligent algorithms may
learn to collude on higher prices even in the absence of the kind of coordination necessary …

We investigate the ability of a platform to design its marketplace to promote competition,
improve consumer surplus, and increase its own payoff. We consider demand‐steering rules …

The efficacy of a market system is rooted in competition. In striving to attract customers, firms
are led to charge lower prices and deliver better products and services. Nothing more …

We show that if they are allowed enough time to complete the learning, Q-learning
algorithms can learn to collude in an environment with imperfect monitoring adapted from …