Report Makes Business Case for Responsible AI
The report also provides advice to organizations seeking to implement responsible AI. They should establish clear principles guiding AI development, avoid reinforcing unfair biases, and prioritize safety by testing systems in controlled environments and monitoring post-deployment. They should form diverse AI Governance Committees to oversee responsible use, align internal and external policies with legal and ethical standards, and promote transparency and explainability. Regular AI audits, privacy protection, and diverse testing criteria are essential, alongside ongoing employee training in responsible AI practices. Organizations should adopt end-to-end governance, encompassing infrastructure, model, application, and end-user layers, to address risks and compliance. Adapting to regulations like the EU AI Act, which imposes strict requirements for high-risk applications, is crucial. Enterprises should also enhance governance over generative AI systems by controlling user interactions, adding safeguards, and fostering safe exploration to balance risk mitigation with the benefits of AI tools.
Microsoft offered the following guidance:
- Establish AI principles: Commit to developing technology responsibly and establish specific application areas that will not be pursued. Avoid creating or reinforcing unfair bias and build and test for safety.
- Implement AI governance: Establish an AI governance committee with diverse and inclusive representation. Define policies for governing internal and external AI use, promote transparency and explainability, and conduct regular AI audits.
- Prioritize privacy and security: Reinforce privacy and data protection measures in AI operations to safeguard against unauthorized data access and ensure user trust.
- Invest in AI training: Allocate resources for regular training and workshops on responsible AI practices for the entire workforce, including executive leadership.
- Stay abreast of global AI regulations: Keep up-to-date with global AI regulations, such as the EU AI Act, and ensure compliance with emerging requirements.
"By shifting from a reactive AI compliance strategy to the proactive development of mature responsible AI capabilities, organizations will have the foundations in place to adapt as new regulations and guidance emerge," the report said in conclusion. "This way, businesses can focus more on performance and competitive advantage and deliver business value with social and moral responsibility."
The report used survey data from March 2024.
More information can be found in an accompanying webinar.
Read the full report here.
About the Author
David Ramel is an editor and writer at Converge 360.