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Case Study

How IBM’s Responsible Technology Team Created Multiple Avenues for Employee Feedback

A case study of IBM

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In 2025, IBM participated in a cohort that met regularly as a Responsible AI Community of Practice. Led by Chief Executives for Corporate Purpose (CECP), Provoc, and Partnership on AI, the cohort engaged senior corporate HR and technology leaders in monthly learning sessions to provide feedback and assist in integrating change in their companies. In addition to participating in the learning sessions, IBM also conducted individual interviews with a select group of employees on how they would like AI to be used in their jobs.

To understand how this came together, PAI spoke with senior leaders at IBM. Their case study reveals that by creating multiple avenues for employee feedback and engagement, companies can better comprehend employee concerns about AI, the obstacles they face in using AI, and the potential benefits.

  • Key Insight No. 1: When leaders signal their openness to feedback, employees feel comfortable sharing their insights about AI.
  • Key Insight No. 2: Creating pathways to experimentation makes employees more likely to innovate with and adopt AI.
  • Key Insight No. 3: Drawing on diverse employee perspectives surfaced practical AI concerns, needs, and everyday use.
  • Key Insight No. 4: Companies can harness the power of employees’ expertise by democratizing AI access and skill-building.
  • Key Insight No. 5: Taking action on feedback builds trust with employees in uncertain times, especially in affirming what makes work uniquely human.

Download the full case study to explore how IBM integrated employee voice into its responsible AI strategy, what the interviews revealed, and the factors that made feedback actionable.