Why We Need Trusted AI: Mitigating Risks and Maximizing Rewards of Generative AI Models
As generative AI continues to evolve, businesses are piloting new ways to deliver value. However, decision makers also face growing concerns around data bias, automation errors, and security risks. In this white paper, David Loshin, a recognized expert in AI and data strategy and president of Knowledge Integrity, Inc., explores the importance of Trusted AI in addressing these challenges.
Get the white paper now to learn how trusted data and Trusted AI enable faster innovation, reliable performance, and cost-effective scale so your AI breakthroughs deliver maximum impact.
Key takeaways include:
- How to mitigate risks like data bias, automation errors, and hallucinations in AI systems
- The role of Trusted AI in ensuring secure, transparent, and reliable AI outcomes
- Practical steps for building AI governance frameworks to foster trust and value creation