Prevent AI Discrimination Across All Customer Interactions
Despite your best intentions, bias related to factors like age, ethnicity, or gender can unintentionally creep into your analytics, and skew the outcomes. The results? Regulatory violations, discriminatory customer engagements, and a loss of public trust.
But with Ethical Bias Check, you can avoid AI adversity by proactively detecting bias in your next best action strategies, then adjusting the offending algorithm or business rule accordingly – ensuring a fair and more balanced outcome for everyone.
Product Area: Customer Decision Hub
Topic: AI and Decisioning
Challenge: 1-to-1 Marketing
June 2, 2020 | Virtual
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