For board members and non-executive directors, generative AI stands as a pivotal innovation that offers unprecedented opportunities to drive business value, improve productivity, reach broader audiences, streamline operations, and help address complicated global issues.
However, it also raises complex business and ethical questions. To gain the full trust of stakeholders and customers, AI systems need to be designed with governance, risk, legal, and ethical frameworks in mind. The aim is not just to manage these challenges as they emerge, but to proactively elevate your organization's AI practices to achieve Trusted AI.
Trusted AI is our strategic approach and framework for designing, building, deploying, and using AI solutions in a responsible and ethical manner to accelerate value with confidence.
Explore the 3 key guiding principles that can help boards achieve their Trusted AI objectives
- Ensure AI applications align with ethical and legal standards, safeguarding the organization from potential financial, operational, and reputational risks
- Foster innovation, enabling the business to gain a competitive edge through trustworthy AI development
- Establish a commitment to Trusted AI, enhancing trust and brand value among stakeholders, customers, and employees.
This paper will provide you with a focused overview of how generative AI affects your responsibilities, and help set you on the path towards operationalizing Trusted AI. By adopting the approaches proposed in this paper, organizations can step forward with the tools to emerge as leaders of responsible innovation, fostering trust, and paving the way for AI that serves the greater good.