Bias Prevention and Fairness
Ensure your A.I. has equitable outcomes
The AI Bias Prevention and Fairness Assessment helps organizations evaluate their ability to develop and maintain unbiased AI systems that treat all users fairly. Through focused questions across five key areas – algorithmic fairness assessment, bias mitigation strategies, data representation, fairness metrics, and review frequency – the assessment reveals your organization’s current capabilities in preventing discriminatory outcomes. The results identify strengths and opportunities for improving AI fairness while providing practical recommendations for building more equitable systems. Essential for technology leaders, data scientists, and executives committed to developing AI systems that serve all users fairly and ethically. The assessment takes approximately 15 minutes to complete.
The assessment aligns with the REAP|Change Framework’s emphasis on developing AI systems that enhance rather than diminish human dignity and ensure equitable treatment across all stakeholder groups.
Try out the DEMO version of the Assessment. It only supports the first three fields of the paid version. Get access to the full Monitor, the analysis of your A.I. app’s trust and safety condition, and the full report when you unlock the DEMO.
3. How do you ensure representative data in A.I. systems? (Select all that apply)
4. What fairness metrics do you track? (Select all that apply)
5. How often do you review A.I. systems for bias? (Select one)
