Leadership Progress Cycle Blog

Use It, Don't Abuse It: Leading Ethically With AI Tools

Written by Jared Oates | May 26, 2025 4:45:00 AM

AI tools have opened exciting possibilities for leadership development—on-demand feedback, personalized coaching, smarter meeting notes, real-time performance insights. But all that power brings a very human responsibility: using it wisely.

In this post, we’ll explore what ethical AI use looks like in leadership and learning—and how to build trust while embracing new tools.

The Real Risks: Why Ethics Matter

Used carelessly, AI tools can erode the very things leaders are trying to build: trust, safety, and psychological security. Examples include:

  • Tracking employee behavior without consent

  • Analyzing internal messages for sentiment without clear boundaries

  • Using predictive tools to flag "flight risks" without explanation

  • Letting AI-generated insights become automated judgment

Even well-intentioned leaders can cross lines if they’re not thinking carefully. That’s why ethics has to be baked in—not bolted on.

4 Principles for Ethical Use

  1. Transparency over Surveillance
    Tell people what you’re using, what it collects, and how it helps. Nothing kills trust faster than secret monitoring.

  2. Consent over Assumption
    Give employees a voice in how AI is used. Consent builds buy-in—and protects against backlash.

  3. Context over Automation
    Data without context can mislead. Always pair AI insights with human conversation and judgment.

  4. Dignity over Efficiency
    Don’t reduce people to metrics. Use AI to elevate potential, not to punish or pressure.

A Real-World Cautionary Tale

In 2020, a major e-commerce company rolled out an AI productivity tracker that measured keystrokes, login times, and idle moments. It backfired—hard. Employees reported anxiety, micromanagement, and even quitting due to the surveillance culture. The tool wasn’t inherently evil. But its rollout ignored the impact on human dignity.

What This Means for L&D Professionals

If you’re responsible for introducing AI into leadership training, you're also responsible for modeling its ethical use. That might look like:

  • Including ethical questions in training prompts ("What’s the impact of collecting this data?")

  • Creating space to discuss AI discomfort or pushback

  • Vetting tools for data privacy, fairness, and transparency

AI won’t ruin your culture. But how you use it might.

Final Thought

Leadership isn’t just about using powerful tools. It’s about using them responsibly. When leaders choose transparency, dignity, and human judgment over shortcuts, AI becomes a trust-builder—not a trust-breaker.

Coming next: how to connect insights across your team using real-time people analytics.