With the widespread use of artificial intelligence (AI) systems and applications in our
everyday lives, accounting for fairness has gained significant importance in designing and …

This article reviews the existing field experimentation literature on the prevalence of
discrimination, the consequences of such discrimination, and possible approaches to …

The hidden costs of artificial intelligence, from natural resources and labor to privacy and
freedom What happens when artificial intelligence saturates political life and depletes the …

Over the last decade, the importance of machine learning increased dramatically in
business and marketing. However, when machine learning is used for decision-making, bias …

As artificial intelligence (AI) applications become more pervasive, it is critical to understand
how knowledge workers with different levels and types of experience can team with AI for …

An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …

The lead optimization process in drug discovery campaigns is an arduous endeavour where
the input of many medicinal chemists is weighed in order to reach a desired molecular …

Reason, we are told, is what makes us human, the source of our knowledge and wisdom. If
reason is so useful, why didn't it also evolve in other animals? If reason is that reliable, why …

We summarize the potential impact that the European Union's new General Data Protection
Regulation will have on the routine use of machine learning algorithms. Slated to take effect …

Over two decades ago, William Ocasio introduced the attention‐based view (ABV) of the firm
with a powerful argument: firm‐level behaviour is the result of the situated distribution and …