Organizations face the challenge of leveraging AI without harming society. The white paper below provides a comprehensive approach to managing data and AI responsibly.
AI is an engine of innovation, but carries risks such as bias and unethical use. Organizations that inspire confidence in their AI practices not only achieve commercial success but also contribute to a better-functioning society.
How to Shape Trustworthy AI
A framework for reliable AI governance requires four pillars according to the white paper below, offered by SAS:
- Oversight: Organizations should develop clear strategies and policies to manage risk and ensure transparency.
- Compliance: Proactive risk assessments and compliance systems help companies comply with regulations and avoid reputational damage.
- Operational Practices: Incorporating clear procedures into AI development strengthens consistency and reliability.
- Culture of Responsibility: By fostering shared norms and adaptability, companies can support sustainable innovation.
Want to know how to prepare your organization for the future of AI? Download the white paper and find out how to turn trust into a strategic advantage.