This part of the Guidelines provides artificial intelligence (AI) developers and innovators an overview of the legal requirements related to the development of AI tools, in terms of privacy and data protection. They aim to contribute to optimizing performance across the entire AI system to achieve efficiency, high-quality outputs and consistent performance, while reducing miscommunications and a resultant failure to comply with regulations.
In this way, PANELFIT complements the efforts of the SHERPA project to provide researchers and innovator with ethical guidelines for the technological development of artificial intelligence (AI) and big data systems and ethical guidelines for the deployment and use of artificial intelligence (AI) and big data systems in organizations (https://www.project-sherpa.eu/guidelines/).
It is divided in three main sections.
- The first one, “General Exposition“, introduces legal-ethical recommendations on how to implement in practice the High-Level Expert Group on AI (2019) Ethics guidelines for trustworthy AI (https://ec.europa.eu/digital-single-market/en/news/ethics-guidelines-trustworthy-ai).
- The second one, “Step by step”, is meant to help AI developers by analyzing the main actions to be addressed on the basis of a step-by-step model, the CRISP-DM model,[1] which is widely employed for explaining the stages included in the development of data analytics and data-intensive AI tools. Indeed, it was the tool selected by the SHERPA project to develop their Guidelines for the Ethical Development of AI and Big Data Systems.[2]
- Finally, the “Case Study” section applies the model to two specific use cases, “Building and AI tool devoted to diagnosing COVID-19 disease“, and “AI for Crime Prediction and Prevention“.
Quellenangaben
1Shearer, C. (2000) ‘The CRISP-DM model: the new blueprint for data mining’, Journal of Data Warehousing 5(4): 13-23. Available at: https://mineracaodedados.files.wordpress.com/2012/04/the-crisp-dm-model-the-new-blueprint-for-data-mining-shearer-colin.pdf (accessed 15 May 2020). ↑
2SHERPA project (2019) Guidelines for the ethical development of AI and big data systems: an ethics by design approach. SHERPA Project. Available at: www.project-sherpa.eu/wp-content/uploads/2019/12/development-final.pdf (accessed 15 May 2020). ↑