Oxford Business Law Blog

In any large enterprise—whether a major corporation or large government agency—indicia of corruption can be difficult to find. Unlike money laundering, which typically requires frequent infusions of...

Accelerating developments are being observed in machine learning (ML) technology as the capacities for data capture and ever-increasing computer processing power have significantly improved. This is...

Artificial Intelligence (AI) and distributed ledger technology (DLT) are referred to as the new ‘Corporate Technologies’ or ‘CorpTech’ (Enriques and Zetzsche, 2019), currently watched in terms of...

For quite some time, artificial intelligence (in the following: AI) has been at the centre of attention of IP and competition law scholars. Yet, the role unfair competition law (in the following: UCL...

With talk of driverless companies and bots substituting for human beings on company boards either in part or completely, the spectre of a future controlled by entities devoid of human beings is upon...

The EU’s Fintech Action Plan (more recently, the Digital Finance Strategy) and the Sustainable Finance Action Plan represent important pillars of the current European policy agenda. While the two...

Ongoing attempts to infuse Artificial Intelligence (AI) into the practice of law are actively taking place by commercial vendors of LegalTech products and by legal scholars in academic research labs...

New technologies such as the blockchain and artificial intelligence could have profound effects on corporations. Research shows, for instance, that blockchains could be employed to clear and register...

Recently, much interest has been expressed in the introduction of artificial intelligence (AI) to the corporate boardroom including in the form of robo-director. The debate has taken a new intensity...

There are many things we do not know about the future of AI usage, including the ways it will impact corporations and their governance. Nevertheless, it is reasonable to believe that, like in many...

In the early stages of COVID-19, rapid responses in targeted locations were appropriate. However, global systemic crisis considerations grew exponentially in tandem with the virus itself. Despite...

Rapid advances in artificial intelligence (AI) have tremendous implications for the economy as well as the society at large. Particularly machine learning as general-purpose technology has the...

In 2017, Upstart, a US-based alternative lender using big data and machine learning to predict creditworthiness, received a No Action Letter from the US Consumer Financial Protection Bureau (CFPB)...

Advanced machine learning (ML) techniques, such as deep neural networks or random forests, are often said to be powerful, but opaque. However, a burgeoning field of computer science is committed to...

In a new paper, 'Price Discrimination, Algorithmic Decision-making, and European Non-discrimination Law' (to be found here), I examine the problem of discriminatory effects of algorithmic decision-...

Robots and algorithms injure people every day. When such injuries occur, it is not always clear—as a matter of law or equity—who should pay. Since algorithms are not people and many of the most...

The great American baseball sage, Yogi Berra, is thought to have once remarked: ‘It’s tough to make predictions, especially about the future’. That is certainly true, but thankfully the accelerating...