AI Ethics Introduction
“AI can be a force for good that helps to solve critical challenges. However, it may also impact our fundamental human rights. This creates a responsibility for companies that create and use these technologies to act ethically. The mobile industry is committed to connecting everyone to a better future, and is well placed to contribute to this evolving field.” Mats Granryd, Director General of the GSMA.
Exercise: Take a few minutes to consider where you are in your ethical AI journey, and what you need to do next, using the step-by-step considerations provided below.
- Have you established a data governance model?
- Have you established AI Ethics principles and guidelines?
- What is the executive-level understanding of AI Ethics? Is change being driven from the top?
- Are you connected to external expertise and exchanging best practices?
- Have you established an executive committee / advisory panel that drives initial understanding, advises, and proposes practices (or policies) for Responsible AI?
- Do you have a risk management system in place to address risks involved in deploying an AI solution?
- How will you ensure awareness of the importance of ethics in developing and deploying AI across the organisation? Have you created an awareness programme on ethical AI?
- Do AI product managers understand AI ethical principles, how these translate to policy, and the implications for product design, development and deployment?
- Have you empowered AI product managers to act ethically, and provided training and technical tools?
- Have you created new roles to support AI product managers in developing and deploying ethical AI?
- Is there a change management process in place if the adoption of ethical principles will represent a departure from business as usual?
- Are you studying concrete examples and monitoring existing ethics risks on AI system, as the scale and scope of AI services increase?