Digital
How do you teach AI the value of trust?
Trust cannot be added to AI at the end. It has to be designed in.
The report
AI's transformative potential is high, and so are its risks.
The need to build trust
Customers, employees and regulators must trust AI for it to be adopted.
Embedding trust into every part of AI
Assessing AI risks
Consider technical, ethical, legal and reputational risks.
Taking a holistic view of AI risks
Risks arise from data, models, use and context, and must be managed together.
Leading tactics for managing risk and building trust
A foundation of trust for a confident future
Governance, testing, monitoring and transparency.
What questions should leaders ask?
What could go wrong? Who is accountable? How will we know?
Summary
Trust designed into AI from the start makes its benefits sustainable.
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