123 Kellogg Insight SUH: No. And there’s not a common language for talking about it either, in terms of explicitly saying, “We only use data that we have access and rights to, and this is how we collect it, and you’ve given us permission for it.” The standards around the language itself are still being developed. ZETTELMEYER: What are you doing about all this at IBM? SUH: We actually developed a 360 degrees fairness kit as part of our broader AI OpenScale initiative. AI OpenScale is an open-technology platform that enables your business with visibility, control, and the abil - ity to improve AI deployments, helps explain AI outcomes, and scales AI usage with automated neural-network design and deployment, all within a unified management console. It includes open-source toolkits to check for unwanted biases in data sets and machine-learning mod - ules. It checks for biases like explainability around your data sets to pro - vide feedback on different aspects of your models. It’s the first open-platform and open-source toolkit to even begin to get developers thinking about bias proactively. Featured Faculty and Experts Florian Zettelmeyer , Nancy L. Ertle Professor of Marketing at Kellogg Inhi Cho Suh, General Manager, IBM Watson Customer Engagement Related Resources Read: Watson Is Just the Beginning Based on insights from Florian Zettelmeyer and Inhi Cho Suh