CRISC Certified in Risk and Information Systems ControlGovernanceHard
A multinational corporation is evaluating a new AI-driven customer service platform. The platform promises significant cost savings but raises concerns about potential biases in its decision-making algorithms and the impact on customer data privacy. The board is seeking assurance that ethical considerations are fully addressed before deployment. Which of the following is the MOST appropriate action for the CRISC professional to recommend?
- ADevelop and implement an 'Ethics by Design' framework for all new technology initiatives.
- BObtain legal counsel's opinion on the platform's compliance with data privacy regulations.
- CForm a dedicated ethics committee to review all AI-related projects before approval.
- DConduct a thorough technical audit of the AI algorithms to identify and mitigate biases.
Show answer & explanationAnswer & explanation
Correct answer: A. Develop and implement an 'Ethics by Design' framework for all new technology initiatives.
An 'Ethics by Design' framework ensures that ethical considerations, including bias and privacy, are embedded into the development and deployment process from the outset, rather than being an afterthought. This proactive approach provides systemic assurance.
Why the other options are wrong
- B. Legal counsel's opinion focuses on compliance, which is a subset of ethics. It doesn't address the broader ethical implications or proactive embedding of ethical principles.
- C. While an ethics committee is valuable for oversight, it's a governance body. 'Ethics by Design' is an operational framework that ensures ethical principles are actionable and integrated into the project itself, rather than just being reviewed externally.
- D. A technical audit is reactive and may only address symptoms; it doesn't embed ethics into the entire lifecycle of development and deployment.
Ethics by Design
An approach that embeds ethical considerations and principles into the entire lifecycle of technology development, from conception and design to implementation and operation, ensuring responsible innovation.
- Proactive ethical integration.
- Addresses societal, privacy, and bias concerns.
- Goes beyond mere compliance.
Memory trick: Design ethics into the AI, don't just patch it later.