Evaluating AI’s Impact Through Feedback: What Are Your Goals?

The main goal of evaluating AI’s impact is to enhance transparency, fairness, and accountability in its deployment. One approach (of many) relies on stakeholder feedback that provides insights into others’ experiences and viewpoints, allowing you to understand better how your company’s use of AI impacts others. Functional goals for a feedback-driven approach to evaluating AI’s impact include:

Unearth Biases

Analysing instances where people feel an AI system mistreated or discriminated against them helps you locate where biases occur. Then, you can make adjustments so AI systems comply with anti-discrimination laws and foster an inclusive environment.

Cultivate Public Trust

Asking users whether AI systems meet their needs and expectations tells you a lot about their trust levels. Gaps between the AI system’s intended functionality and the actual user experience should stand out. Input on system accuracy, reliability, and usability helps you target areas for improvement.

Use the feedback to design improved user experiences that instil trust. Address pain points and incorporate user suggestions. You demonstrate your commitment to listening to users’ voices and incorporating their perspectives into improving AI systems.

Boost Employee Engagement And Retention

Has AI effectively taken over mundane tasks that lead to employee burnout and dissatisfaction? Ask if employees can now focus on more meaningful and challenging work. 

This type of feedback can also reveal gaps in employees’ ability to collaborate and share knowledge. For example, employees may say accessing up-to-date information takes longer. To enhance team performance, you may adopt AI-powered chatbots that provide instant access to real-time data and answer common questions. 

Effective AI systems help bridge communication gaps, boost efficiency, and create a more cohesive and productive work environment. Collecting and analysing feedback is an iterative process that supports continuous improvements to align AI technologies with stakeholders’ needs better and build public trust. Look for satisfied clients, high retention rates, and positive feedback to indicate success. 

Source: Above the Law






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