Assessing Bias, Risk,
and Data Quality
We provide comprehensive assessments for both third-party (vendor produced) AI tools and internally developed AI systems/tools. By assessing the reliability, transparency, and compliance posture of these tools and systems, we empower clients to safely and effectively use AI for employment, pricing, fraud detection, and other critical business decisions.
AI Decision-Tool Bias Audits
We analyze your AI and algorithmic systems and tools to ensure that they do not inadvertently discriminate against any group of users.
AI-powered tools offer companies the benefit of efficient and tailored decision making in employment and other areas. But they also carry a serious risk of unintentionally building bias into the decision-making process, leading to potentially discriminatory outcomes. Our expert analysts provide independent bias audits that assess whether use of the AI tool results in bias on the basis of race, gender, ethnicity, age, and/or intersectional identities.
- Pre-Implementation: Using custom built data sets we can analyze the statistical impact of the AI tool before you implement it and determine whether its use will have a negative impact on any group.
- Implementation: We can assist you in designing a pilot study of the AI tool to assess potential bias prior to full implementation of the tool.
- Post-Implementation: Once the AI tool is in use, we can conduct analysis of actual use data from your business to confirm that the tool as implemented remains bias-free.
Our customized assessments are designed to align with both your company’s objectives and applicable regulatory standards. They deliver clear, actionable results that pinpoint and address any hidden biases, promoting more objective and merit-based decision making.
Fraud Detection with Predictive Analytics
We leverage machine learning and predictive modeling to identify potentially fraudulent transactions before they escalate. These models are trained on patterns and relationships within historical data and are continuously evaluated and updated to maintain accuracy over time. By proactively flagging suspicious activity, we help clients reduce risk exposure and respond more effectively to emerging threats.
Algorithmic Pricing Tool Assessments
As companies increasingly delegate pricing decisions to algorithms across a wide range of markets, regulators are beginning to take notice. Our empirical assessments analyze pricing behavior, market effects, and algorithm design to identify signs of potential coordination or anti-competitive outcomes. By examining the competitive impact of these tools – through simulation, economic modeling, and market data analysis – we provide clients with crucial insights to help manage antitrust risk while maintaining effective and compliant pricing strategies.
AI Data Integrity and Quality
AI systems are only as reliable and effective as the data that powers them. Whether during training or in real-world use, the accuracy, consistency, and completeness of the data directly impact an AI model’s performance and decision-making. Our data integrity and quality assessments focus on identifying potential issues that can undermine the reliability of your AI systems. We evaluate data for completeness, accuracy, relevance, and consistency across multiple stages – training, testing, and deployment. By resolving data gaps and quality issues, we strengthen the foundational inputs driving your AI systems – enhancing model accuracy, stability, and performance.
