Businesses are facing an increasingly complex, ever-changing global regulatory landscape when it comes to AI. The IBM approach to AI ethics balances innovation with responsibility, helping you adopt trusted AI at scale.
Good design does not sacrifice transparency in creating a seamless experience.
Properly calibrated, AI can assist humans in making choices more fairly.
As systems are employed to make crucial decisions, AI must be secure and robust.
Transparency reinforces trust, and the best way to promote transparency is through disclosure.
AI systems must prioritize and safeguard consumers’ privacy and data rights.
Find out strategies for capturing business value with generative AI while also building governance guardrails that build trust.
IBM and the Data & Trust Alliance offer insights about the need for governance, particularly in the era of generative AI.
A risk- and context-based approach to AI regulation can mitigate potential risks, including those posed by foundation models.
The IBM AI Ethics Board is at the center of IBM’s commitment to trust. Its mission is to:
The Board sponsors workstreams that deliver thought leadership, policy advocacy and education and training about AI ethics to drive responsible innovation and the advancement and improvement of AI and emerging technologies. It also assesses use cases that raise potential ethical concerns.
The Board is a critical mechanism by which IBM holds our company and all IBMers accountable to our values and commitments to the ethical development and deployment of technology.