1) To what extent should AI be involved in the recruitment process (i.e., trying to build your candidate pool), the hiring process (i.e., after you have a candidate pool and need to figure out who to offer a job to), and the talent management/development process (i.e., you have your workforce at your organization, what do you do with them? are they satisfied, engaged, well, are they performing well, etc.) and what are the potential biases and challenges associated with its implementation?

2)  What ethical implications pop up when using AI in employee performance evaluations (whether they are annual, quarterly, monthly, etc.), and how can organizations address concerns related to privacy and surveillance?

3)  How can AI be leveraged for unbiased and effective succession planning, and what steps should organizations take to ensure diversity, equity, and inclusivity in leadership pipelines?

4) How can organizations effectively communicate the integration of AI in talent management to employees, and what steps should be taken to address any concerns or fears about job security and job displacement?

5) How can AI contribute to effective talent identification for promotion within an organization, and what considerations should be taken to avoid favoritism or unintended consequences?