Actuarial Data Science Regulatory / Ethics
Below we list publicly available articles covering regulatory, legal or ethical topics (in yearly and alphabetical order):
Regulatory-related
- Artificial Intelligence Governance Principles: Towards Ethical and Trustworthy Artificial Intelligence in the European Insurance Sector, EIOPA, 2021
- Big data and artificial intelligence: Principles for the use of algorithms in decision-making processes, BaFin, 2021
- Discrimination-Free Insurance Pricing, M. Lindholm, R. Richman, A. Tsanakas, M.V. Wüthrich, SSRN, 2020; Article in The Actuary
- Ethics Guidelines for Trustworthy AI, European Commission, 2019
- Principles to Promote Fairness, Ethics, Accountability and Transparency (FEAT) in the Use of Artificial Intelligence and Data Analytics in Singapore's Financial Sector, Monetary Authority of Singapore, 2019
- Study: Big Data meets artificial intelligence, BaFin, 2018
Ethics and Responsibility Guidelines for Data Science
- Digital responsibility and solidarity in the insurance industry, Sanitas Stiftung, 2021
- Code of Ethics for Data-Based Value Creation, Data Innovation Alliance, 2020
- Code of practice for the responsible handling of data by the Swiss business sector, Economiesuisse, 2020
Industry Papers
- 'Machine Decisions', Governance of AI and Big Data Analytics, CRO Forum , 2019
- Big Data and Insurance: Implications for Innovation, Competition and Privacy, The Geneva Association, 2018
Risk Management for Machine Learning
- Believing the Bot - Model Risk in the Era of Deep Learning, R. Richman, N. von Rummell, M.V. Wüthrich, SSRN, 2019
