Categories
- ACTUARIAL DATA SCIENCE
- AFIR / ERM / RISK
- ASTIN / NON-LIFE
- BANKING / FINANCE
- DIVERSITY & INCLUSION
- EDUCATION
- HEALTH
- IACA / CONSULTING
- LIFE
- PENSIONS
- PROFESSIONALISM
- Thought Leadership
- MISC
This discussion will pose ethical questions in relation to data analytics. It will look at the legal frameworks governing this area, sources of bias, common mistakes and best practices. It will also highlight a number of real world cases where data analytics got it wrong and right.
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