A Conversation about Human-Centric AI and Employment Equity

Episode notes

This research explores the integration of human-centric artificial intelligence within the workplace, focusing on how design and governance influence employment equity. While AI can improve efficiency in recruitment and evaluation, the research warns that algorithmic bias and opaque decision-making risk damaging employee trust and morale. Organizations can foster a sense of procedural justice by implementing transparent communication, bias audits, and mechanisms that allow workers to contest automated outcomes. Additionally, the research emphasizes the importance of inclusive upskilling and financial support to help the workforce transition as roles evolve. Ultimately, building workforce resilience requires a shift toward participatory leadership and ethical frameworks that prioritize human values over technical optimization. Such a strategy ensures that AI serves to augment human capability rather than simply replacing it. See Privacy Policy at and California Privacy Notice at .

• A Conversation about the Control Tax and Designing for Judgment Over Oversight50 / 100
• A Conversation about Designing Human-AI Collaboration Playbooks57 / 100
• A Conversation about the Great Decoupling: Restoring Trust in the Modern Workplace52 / 100
• A Conversation about the Lifecycle of Learning: Internal and External Skill Acquisition
• A Conversation about the Human - AI Teaming Landscape: Designing the Hybrid Workforce