Most importantly, this short article is by no means an exhaustive representation of the Civil Society ecosystem. Often, one initiative is concerned with more than one principle, so overlap is to be expected. We here present you with a starting repository of what we consider meaningful Civil Society initiatives in the field of AI ethics, working on these principles. The principles are Accuracy & Robustness, Explainability & Transparency, Bias & Fairness, Privacy, and Accountability. (2016) to start a repository of Civil Society initiatives that are actively working on AI ethical principles. We, AI for People, have taken inspiration from the ethical concerns presented in the paper “The Ethics of Algorithms: Mapping the Debate” by Mittelstadt et al. In this respect, we think that Civil Society initiatives are key to ensuring that the most fundamental layer of society, citizens, can meaningfully shape the systems that affect them. While AI systems are subject to relevant ethical concerns, the efforts of developers, governments and policy makers are alone insufficient to address those concerns in their complexity and in their consequences on the wider population.

There is a growing momentum coming from the academic, private, and public sectors to define what the principles by which AI should be governed and designed are.

In this article, you can find a list of interesting initiatives that work to truly make AI a tool for the social good.įollow us on LinkedIn, Facebook, Twitter or Instagram to check all the other projects that we launch. By Nicole Blommendaal, in collaboration with Lea, Bijal Mehta, Marco-Dennis Moreno and Marta Ziosi.

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