Strategies and practices for responsible AI
TDWI playbook
Download the Whitepaper
Today’s enterprises need meaningful insights from advanced analytics techniques such as machine learning, natural language processing, and other types of artificial intelligence.
However, responsible AI is more than identifying AI model biases, explainability, and privacy. It calls for a proactive approach to identifying and mitigating business, legal, and ethical risks to create trust and deliver tangible business value.
For organizations, this means not only adhering to existing legal and compliance frameworks but also taking a holistic approach — including people, processes, and technology — to foster trust and confidence among users and stakeholders.
Download this TDWI Playbook today to prepare your enterprise for responsible AI.
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