Gradient Institute’s collaborative work to develop a practical fairness assessment for AI systems in finance. Get the methodology and accompanying case studies from this link.

Artificial intelligence (AI) systems are becoming ubiquitous in all kinds of decision-making, impacting many aspects of our lives and perhaps even altering the nature of our society. Belatedly, we have recognised that this change is not always for good: AI systems have demonstrated again and again that they can cause significant and avoidable harm when poorly designed. AI systems unfairly discriminating against individuals by their race, gender, or other attributes is a particularly common and…

A discussion of who decides the ethical stance encoded into an ethical AI

We at the Gradient Institute are often asked who decides the particular ethical stance encoded into an “ethical AI”. In particular, because we work on building such systems, the question also takes the form of “whose ethics” we will encode into them. This post is to address such questions.

The Short Answer

The people ultimately responsible for an AI system must also be responsible for the ethical principles encoded into it. These are the senior executives and leaders in business and government who currently make strategic decisions about their organisation’s…

Lachlan McCalman

Chief Practitioner, Gradient Institute

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