Trustworthy AI: Strategic, Responsible, Safe, Reliable, Scalable
Podcasts Andrew Welch Podcasts Andrew Welch

Trustworthy AI: Strategic, Responsible, Safe, Reliable, Scalable

2025 is the year of Trustworthy AI as organizations worldwide deploy AI-enthused solutions with limited consideration on how to make it safe. Not only from a compliance and risk management perspective, but by creating AI that users themselves can trust. Trustworthy AI is top of mind for many people, though there is currently no standard approach to articulating what this means. Can we trust the results? Can we trust that AI is safely used? Is AI going to take our jobs? Will AI grow a personality and conquer the world by turning a society of toasters against us? To truly address this, it must be recognised that Trustworthy AI is more than red teaming, or testing against responsible pillars of AI. It’s about creating a trustworthy experience grounded in good data, exposing cumulative human error and AI hallucinations through technical monitoring and human observability. It’s about building a digital ecosystem that is strategic, responsible, safe, reliable and scalable. It’s about making AI a trusted enabler for humans.

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