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.
Fostering a more ethical future by leveraging technology
Case study: Building trust in AI
Learn about strategies and tools that can help mitigate the unique risks posed by foundation models.
In a Connecticut Times op-ed, IBM Chief Privacy and Trust Officer, Christina Montgomery, explains why state Senate Bill 2 is “an example of a positive path forward for AI regulation at the state level.”
Learn how the responsible development and deployment of AI technology can be better for people and the planet.
Learn how the EU AI Act will impact business, how to mitigate risk and how to balance regulation and innovation.
IBM leaders Christina Montgomery and Joshua New outline three key priorities for policymakers to mitigate the harms of deepfakes.
In a new case study featuring IBM, Gartner discusses how to establish a governance framework that streamlines the process of detecting and managing technology ethics concerns in AI projects.
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.
Human values are at the heart of responsible AI.
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 was established as a central, cross-disciplinary body to support a culture of ethical, responsible and trustworthy AI throughout the organization.
Co-chaired by Francesca Rossi and Christina Montgomery, the Board’s mission is to support a centralized governance, review and decision-making process for IBM ethics policies, practices, communications, research, products and services. By infusing our long-standing principles and ethical thinking, the Board is one mechanism by which IBM holds our company and all IBMers accountable to our values.
Learn more about ethical impact in the 2023 IBM Impact Report
Learn more about Francesca
Learn more about Christina
Our positions
IBM advocates for policies that balance innovation with responsibility and trust to help build a better future for all.
IBM's five best practices for including and balancing human oversight, agency and accountability over decisions across the AI lifecycle.
IBM's perspective on the opportunities posed by foundation models as well as their risks and potential mitigations.
Awareness about risks and potential mitigations is a crucial first step toward building and using foundation models responsibly.
White paper outlining seven recommendations about data-driven business model risks for policymakers.
Companies should utilize a risk-based AI governance policy framework and targeted policies to develop and operate trustworthy AI.
White paper on privacy risks of Brain-Computer Interfaces.
Companies that collect, store, manage or process data have an obligation to handle it responsibly, ensuring ownership and privacy, security and trust.
IBM no longer produces facial recognition or analysis software. We believe in a governance framework informed by precision regulation.
Five priorities to strengthen the adoption of testing, assessment and mitigation strategies to minimize bias in AI systems.
A pioneering paper on accountability, compliance and ethics in the age of smart machines.
IBM's point of view on protecting at-risk groups in AI bias auditing.
Partnerships and collaborations
IBM is proud to contribute to diverse, global efforts to advance responsible AI through partnerships, alliances and affiliations.
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.
Hear privacy predictions from key industry leaders, including IBM Chief Privacy and Trust Officer, Christina Montgomery.
In collaboration with IBM, the World Economic Forum offers three briefing papers to help guide responsible transformation with AI.
With support from IBM, the Data and Trust Alliance offers a series of perspectives with practical insights from businesses earning trust with data and AI.