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McKinsey & Co. urge us all to use more trusted AI


Set against an increasingly complex regulatory landscape, the world’s top management consultancy firm recommends that AI data privacy, governance and guidelines, plus guard rails for staff, should be uppermost in business leaders’ minds today.

AI compliance, which involves adopting a more streamlined, scalable and digital approach to making sure staff are using tools safely and wisely, is best viewed as an enabler of AI at scale than as an unwelcome additional cost. People-led manual processes are nowhere near up to the task. They are operationally inefficient and risky to manage.

Trusted AI, defined by ehe Organisation for Economic Co-operation & Development (OECD) as solutions that are reliable, transparent, fair, resilient and accountable combine technical robustness and security with ethical and social responsibility.

Trusted AI’s 6 levers

  1. Centralise compliance within existing teams
  2. Digitalise controls through the use of legal tech tools
  3. Simplify overarching AI governance structures
  4. Design change management processes for all employees
  5. Build resilient and ethical AI systems across the value chain
  6. Undertake continuous monitoring and improvement

What to do before you begin

Assess the current state. Conduct a thorough benchmarking exercise (such as McKinsey’s AI Trust Maturity Model) to compare the organization’s current setup against industry best practices. A full evaluation of the organizational structure, policy frameworks, and control mechanisms can highlight gaps between an organization’s AI impact aspirations and its AI trust and governance readiness.

Identify automation opportunities. Collect and review all relevant controls, along with their current implementation methods, to flag opportunities for automation. Organizations should prioritize controls that are time-intensive, error-prone, or repetitive. Candidates for automation are processes that occur on a defined schedule (such as monthly reviews, quarterly audits, or continuous monitoring) rather than one-off checks.

Develop a unified program. Translate insights from the benchmarking and automation assessments into a comprehensive program, with a central oversight team in the lead. This program should focus on simplifying governance structures, digitalizing controls, and standardizing compliance efforts across the organization.

And while you’re doing all of this, install the Klyra Shield AI compliance monitoring and governance tool in your staff browsers, to ensure they are always sharing the right information with helpful chatbots and the latest generative tools, so sensitive or confidential information isn’t “walking out the door” when tools are used inadvisedly.

Visit the Mondatum website to find out more about Klyra Shield and how it can help your teams work safely, as well as smarter, with AI.



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