8 ways to help your teams build lasting responsible AI
Briefly

8 ways to help your teams build lasting responsible AI
"Fifty-six percent of the 310 executives participating in a new PwC survey say their first-line teams -- IT, engineering, data, and AI -- now lead their responsible AI efforts. "That shift puts responsibility closer to the teams building AI and sees that governance happens where decisions are made, refocusing responsible AI from a compliance conversation to that of quality enablement," according to the PwC authors."
""Responsible AI is a team sport," the report's authors explain. "Clear roles and tight hand-offs are now essential to scale safely and confidently as AI adoption accelerates." To leverage the advantages of responsible AI, PwC recommends rolling out AI applications within an operating structure with three "lines of defense." First line: Builds and operates responsibly. Second line: Reviews and governs. Third line: Assures and audits."
Fifty-six percent of executives report that first-line teams — IT, engineering, data, and AI — now lead responsible AI efforts, placing governance where decisions are made and reframing responsible AI as quality enablement rather than mere compliance. Responsible AI focuses on eliminating bias and ensuring fairness, transparency, accountability, privacy, and security, and it drives business value by boosting ROI, efficiency, innovation, and trust. Clear roles and tight hand-offs are essential to scale safely. A three-tier operating model is recommended: first line builds and operates responsibly; second line reviews and governs; third line assures and audits. Half of executives cite converting principles into scalable processes as the primary challenge.
Read at ZDNET
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