Join as AI ethics counsellor
We are building a network of AI ethics counsellors and reviewers to equip European SME’s, startups and public organizations with an access to high quality information, methodologies and support on operationalizing responsible AI.
Join the network
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951847.
Who can join?
As innovators, social scientists, engineers, educators, policy makers, designers and everyday users we all can contribute. AI ethics counsellors are a network of individuals willing to support SME’s in developing and using AI responsibly. By joining you will be invited to a series of training workshops and get access to Saidot methodologies to support reviewing and counselling AI projects.
How to develop AI responsibly?
By applying systematic methodologies for AI ethics we make good decisions easier for AI teams. Here are some key concepts you should know to ensure your AI meets the ethical and legal standards and good practices.
Secure the privacy and protection of your data
Oct 5, 2021

Data protection and privacy are often mentioned in the same sentence, however, there is an important distinction between the two concepts: data protection refers to tools and policies restricting access to personal data – data protection protects against unauthorized access, whereas privacy defines who in the organizations or entities has authorized access to the personal data.

Ensure your datasets are of high quality and fit for purpose
Oct 5, 2021

The importance of good quality and relevant data is of paramount importance to the performance of the AI systems. Your AI system is only as good as the data it is trained with – data may contain errors, mistakes, inaccuracies, as well as biases, therefore it is important to ensure that data that is used to train your AI systems is of good quality.

Hold people accountable for your technology and it’s impacts
Oct 5, 2021

AI is only as trustworthy and transparent as the extent of its accountability measures. An accountable AI ensures that AI operates in accordance with its purpose and in compliance with relevant regulatory instruments. An accountable AI is an AI that inspires trust.

“Motivational quote on AI ethics from ELISE leadership”
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