Adopting responsible AI practices with the T.R.U.S.T framework

Building Atomicwork as an AI-first ITSM platform, we interact extensively with CIOs, CISOs, and other IT leaders to help implement their enterprise AI strategy.
In these interactions, we often hear about deploying AI safely in the enterprise environment.
How do you make AI secure and safe for your employees? How do you prevent AI security attacks and threats? How do you encourage adoption?
That's why we've developed the TRUST framework to help enterprises accelerate AI adoption with responsible AI practices.
Here's what TRUST means:
🔵 Transparency: Make AI decisions understandable and clear to users
🔵 Responsibility: Ensure that the AI systems operate ethically and avoid biases
🔵 User-centricity: Keep the users' needs at the core of every decision you make
🔵 Security: Make the system robust, resilient to threats, and actively protect sensitive data.
🔵 Traceability: Make sure AI decisions can be tracked and audited.
Watch the full video to see practical examples of each of these pillars in action.
You can also head to the blog, if you prefer reading the use cases: www.atomicwork...
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