To have a broad understanding of trust as it specifically relates to the use of AI in Workforce Management. This should be business-oriented and aimed at practical applications, rather than academic or regulatory outputs. An ideal response would include what is already underway, or planned, in the world of data specifically surrounding companies' and organizations' data/AI values, principles, and recommendations to data, AI, and algorithms on the following issues One: Policies, principles, values (e.g., IBM’s public policies, frameworks, values on data usage and AI usage); Two: 2. Recommendations and proposals for data/AI/algorithm policies and stances (for practitioners and for regulators); three: Key studies on data/AI/algorithm policy and principles and approaches; and Four: Any overall key surveys/research pertaining to this. This should be across four verticals: companies (cross-sector), trade Associations, civil society NGOs, and the regulatory landscape. A home run would be a detailed scan that reveals what the current policies, principles, values, recommendations, and research are out there today on this topic. What should NOT be included are what pundits and journalists believe should be in place [opinion pieces].