How AI tools can-and cannot-help organizations become more ethical.

In this paper, we argue that we cannot expect that AI systems-even given more data or better computational resources-will be more ethical than the humans who develop, deploy and use them. As such, we advocate that it is necessary to retain the responsibility for ethical decision-making in human hands. In reality, however, human decision-makers currently do not have the ethical maturity to meaningfully take on this responsibility. So, what to do? We develop the argument that to broaden and strengthen the ethical upskilling of our organizations and leaders, AI has a crucial role to play. Specifically, because AI is a mirror that reflects our biases and moral flaws back to us, decision-makers should look carefully into this mirror-taking advantage of the opportunities brought about by its scale, interpretability, and counterfactual modeling-to gain a deep understanding of the psychological underpinnings of our (un)ethical behaviors, and in turn, learn to consistently make ethical decisions. In discussing this proposal, we introduce a new collaborative paradigm between humans and AI that can help ethically upskill our organizations and leaders and thereby prepare them to responsibly navigate the impending digital future.

The road to a human-centred digital society: opportunities, challenges and responsibilities for humans in the age of machines.

The growing adoption of intelligent technologies has brought us to a crossroad. The creators of intelligent technologies are acquiring the power to influence a wide variety of outcomes that are important to human end-users. In doing so, those same intelligent technologies are being used to undermine and even actively harm the interests of those same end-users. In the absence of a recalibration, we are almost certainly headed down a path wherein intelligent technologies will primarily serve the interests of developers and owners of technology rather than humankind at large. In an attempt to push for such a recalibration, we present parallels between the 2008 financial crisis and the current state of affairs. Following which, we present a list of recommendations and implications to be used when in the pursuit of creating responsible and human-centred AI.