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.
Understanding the unique opportunities, risks and mitigations of AI agents is a critical first step toward scaling them responsibly.
The IBM Office of Privacy and Responsible Technology is scaling responsible AI and unlocking business value through integrated AI governance.
Just as important as what AI governance helps organizations achieve is what it helps organizations avoid. Find out the extensive potential costs of not implementing an AI governance program.
Through the last five years of AI evolution, the IBM AI Ethics Board has helped IBM responsibly innovate by guiding the development and implementation of ethical guidelines for AI.
Members of the IBM AI Ethics Board reflect on their experiences helping to ensure that AI is used responsibly and for the benefit of all of society.
The Data & Trust Alliance Data Provenance Standards are helping IBM accelerate internal data diligence processes.
AI governance matters now more than ever. But how do you get started? Find out in a new guide from the IBM Institute for Business Value.
Three IBM leaders offer their insights on the significant opportunities and challenges facing new CAIOs in their first 90 days.
Learn how the responsible development and deployment of AI technology can be better for people and the planet.
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:
Co-chaired by Francesca Rossi and Christina Montgomery, 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.
Learn more about Francesca
Learn more about Christina
At the Notre Dame-IBM Tech Ethics Lab, industry leaders gathered to discuss the opportunities and challenges of responsible AI in finance.
Co-created by IBM, the Data & Trust Alliance's new Data Provenance Standards offer a first-of-their-kind metadata taxonomy to support transparency about data provenance.
Experts from IBM and University of Notre Dame outline recommendations for getting the best ROI from AI ethics investments.
With input from IBM, Partnership on AI's new report explores safeguards for open foundation models.
Co-authored by IBM, the Data & Trust Alliance's new policy roadmap provides recommendations for balancing AI innovation with AI safety.
At The Futurist Summit, IBM Chief Privacy and Trust Officer Christina Montgomery and Partnership for AI CEO Rebecca Finley discuss the critical relationship between open innovation and AI safety.
With support from the Notre Dame-IBM Technology Ethics Lab, the Pulitzer Center launches the AI Spotlight Series, a global training initiative.
IBM and Meta launch the AI Alliance in collaboration with over 50 founding members and collaborators globally.
In collaboration with IBM, the World Economic Forum offers three briefing papers to help guide responsible transformation with AI.