2022 Ethics and Explainability for Responsible Data Science (EE-RDS)

AboutComputing and Processing; General Topics for Engineers; Signal Processing and Analysis
Keywords:Ethics in Data Science,Explainability in Data Science,Responsible Data Science,Responsible Data Engineering.
Scope:This conference brings together reflections on both the actual and potential impact of data science across disciplines and sectors. Submissions are welcome from any disciplinary background, with a focus on scientific contributions, conceptual themes, and reflections within the areas of: Responsible Data Science: Reliable and Trustworthy approaches for data engineering, data science and modern machine learning; Algorithmic Fairness, Transparency, and Explainability; Social and Ethical aspects of Responsible Data Science; and Use cases illustrating the cross-disciplinary nature of the field of Data Science.
Sponsor Type:3; 5; 9