1- Always and continuously challenge your assumptions.
Develop a diverse ethics advisory board, including educators, AI experts, ethicists, and student representatives, to periodically challenge and refine guidelines for responsible AI coaching.
Why?
Assumptions about responsible practices might unintentionally prioritize certain communication styles or outcomes over others.
Establish a regular 'ethical review cycle' where core assumptions about responsible AI coaching practices are systematically examined and updated based on the latest research and expert opinions.
Why?
Notions of responsible AI coaching can evolve rapidly with technological advancements and changing educational paradigms.
2- Some risks and issues in AI coaching are unknown or emerge over time, so responsible AI considerations should evolve.
Regularly monitor and update the risks for your tasks.
Why?
Responsible AI policies must evolve to address newly identified risks. Continuous auditing and monitoring is crucial for identifying emerging risks in AI coaching systems. This can lead to new prevention and mitigation actions. You can implement an ongoing monitoring schedule that regularly assesses the AI coaching system's performance.
Create an internal or collaborate with an independent auditing board with diverse expertise for periodic reviews.
Why?
An independent or external auditing board provides valuable oversight and risk assessment.