AI4People—An Ethical Framework for a Good AI Society: Opportunities, Risks, Principles, and Recommendations

I am a co-author on a new paper which appears in Minds and Machines (open access).2000px-Black_pencil.svgThis article reports the findings of AI4People, an Atomium—EISMD initiative designed to lay the foundations for a “Good AI Society”. We introduce the core opportunities and risks of AI for society; present a synthesis of five ethical principles that should undergird its development and adoption; and offer 20 concrete recommendations—to assess, to develop, to incentivise, and to support good AI—which in some cases may be undertaken directly by national or supranational policy makers, while in others may be led by other stakeholders. If adopted, these recommendations would serve as a firm foundation for the establishment of a Good AI Society.

Big Data’s People Problem

Big Data Debate

To Google Campus in east London to hear what a number of practitioners thought were the most controversial questions surrounding the use and abuse of big data. After a couple of lightning pitches from big data startups (if you dream of using augmented reality to make your exercise regime more exciting, you’ll be in luck when Google Glass is released) the event moved into a wide ranging panel discussion with participants including journalist Paul Bradshaw, Daniel Hulme, founder of Satalia and Duncan Ross, Director of Data Science at Teradata. The event was billed as tackling the controversial questions over big data, and the panelists got right down to business, eschewing talk of big data’s big potential in favour of honest reflection about the darker side of the data revolution. Continue reading “Big Data’s People Problem”