Companies are motivated to tackle the challenge of bias in AI not only to achieve fairness but to ensure better results. However, just as systemic racial and gender bias have proven difficult to eliminate in the real world, eliminating AI bias is no easy task.
Identifying and addressing bias in AI begins with AI governance, or the ability to direct, manage, and monitor the AI activities of an organization. Seasoned AI professionals must dig deep into the requisites to resolve this grim situation of AI bias that can be dangerous for nations and humanity worldwide.
AI algorithms have grown considerably more complex, but we continue to face the same challenge. AI can help identify and reduce the impact of human biases, but it can make the problem worse by baking in and deploying biases at scale in sensitive application areas. Mastering core nuances and AI model-making specifics from top AI certifications can lead the way to greater unison and AI parity.
Bring the much-needed expertise in comprehending and fighting machine learning bias with the most trusted credentialing bodies only. Begin informed today!
