A survey of the key issues and implications of ethics and the responsible use of data with a focus on how to examine, detect, and mitigate bias in AI data and algorithm outcomes.
62% of consumers would place higher trust in a company whose AI interactions they perceived as ethical – Capgemini Research Institute
Artificial Intelligence (AI) and Analytics are rapidly growing and can create professional and reputational risks along with bias. The new Ethical & Responsible Use of Data & Predictive Model Executive Track Certificate Program from the Society of Actuaries (SOA) is designed for people who provide data and AI insights to regulators, governmental agencies, and consulting companies, and ensure the results are not skewed with any potential bias.
The program provides an in-depth understanding of the risks and implications of algorithmic bias and unfair discrimination, emphasizing what questions to ask to mitigate risk.
The Society of Actuaries’ Ethical & Responsible Use of Data & Predictive Models Executive Track is a 30-hour virtual course with six e-learning modules offering the most comprehensive and streamlined training available. It is ideal for people responsible for accurate data without AI bias.
This streamlined program will provide in-depth training that is grounded in best practices including:
- Helping to develop or establish a common data and analytics ethical and responsible use program.
- Offering a framework with ethical criteria to consider when working with predictive models and algorithms.
- Helping to develop and ensure adherence to a common framework for actuarial and data teams to ensure they speak the same language and operate under the same umbrella of best practices.
- Providing tools to assess whether actuarial and data teams have a deep understanding of ethical issues and how market and regulatory context affects models.
- Understanding approaches to mitigate risks associated with the many ethical questions the industry is facing with big data on the frontier of actuarial science.