Proposals may focus on more than one of the above AI-based systems and should clearly identify the expected use-case/s in society. Proposals should focus on the development of tools and processes for design, testing and validation, including software engineering methodologies. The proposed approaches should also build tools to support deployment and uptake, auditing, certification (where appropriate).

Proposals are expected to:

• Develop technologies and algorithms to evaluate and address bias in AI-based systems. These underlying methods will help addressing gender, racial, age bias, as well as bias against persons with disabilities, people from socially disadvantaged backgrounds, and the LGBTIQ community in AI-based systems, and support the deployment of such bias-free AI-based solutions.
• Develop standardized processes to assess and quantify the trustworthiness of the developed AI systems, in particular assessment of bias, diversity, non-discrimination and intersectionality – based on different types of bias measures. This might include a methodology for considering diversity and representativeness of data, ensuring the reliability, traceability, and explainability of the AI systems, testing models on various subgroups and enabling appropriate stakeholder participation. It could also include mechanisms to flag and remove risks of biases and discrimination.
• Develop recommender and algorithmic decision-making systems which reduce bias in the selected use-case.
• Conduct trainings and awareness raising on preventing gender and intersectional bias for AI researchers, students and practitioners. Trainings should also target practitioners of AI as a whole to avoid that the topic be limited to those with an already existing interest in socially responsible AI.
• Cooperate with the Public-Private Partnership on AI, Data and Robotics and other relevant partnerships across a wide range of industrial and digital sectors, including representatives of international digital professional associations (e.g. IEEE), computing industry, hi-tech start-ups / SMEs etc. to further promote the use and uptake of the developed tools.