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Responsible AI

Enabling ethical and equitable AI requires a comprehensive approach around people, processes, systems, data, and algorithms. Intel is designing AI to lower risks and optimize benefits for our society.

Our Perspective

Intel has long recognized the importance of the ethical and human rights implications associated with the development of technology. This is especially true with the development of AI technology, for which we remain committed to evolving best methods, principles, and tools to ensure responsible practices in our product development and deployment.

Our Approach

We believe that responsible development must be the foundation of innovation throughout the AI life cycle to ensure AI is designed, built, deployed and used in a safe, sustainable and ethical way. As AI continues to rapidly evolve, so do our RAI efforts. 

Lama Nachman, Intel Senior Fellow and Director, Intelligent Systems Research Lab at Intel Labs, speaks to how Intel is refining its approach to responsible AI

Responsible AI Pillars

Intel is committed to advancing AI technology responsibly. We do this by utilizing rigorous, multidisciplinary review processes throughout the development lifecycle, establishing diverse development teams to reduce biases, and collaborating with industry partners to mitigate potentially harmful uses of AI. We are committed to implementing leading processes founded on international standards and industry best practices. AI has come a long way but there is still so much more to be discovered, as technology evolves. We are continuously finding ways to use this technology to drive positive change and better mitigate risks. We continue to collaborate with academia and industry partners to advance research in this area while also evolving our platforms to make responsible AI solutions computationally tractable and efficient.

  • Internal and External Governance
  • Research and Collaboration
  • Products and Solutions
  • Inclusive AI

Internal and External Governance

Internally, our multidisciplinary advisory councils review various development activities through the lens of seven principles: respect human rights; enable human oversight; enable transparency and explainability; advance security, safety, and reliability; design for privacy; promote equity and inclusion; and protect the environment. Externally, consistent with Intel’s Global Human Rights Principles, when we become aware of a concern that Intel products are being used in a way that violates these Principles, Intel will take appropriate action to mitigate that abuse up to and including restricting or ceasing Intel’s business with the business partner until and unless we have high confidence that Intel’s products are not being used to violate human rights.

Read more about Intel’s Corporate Social Responsibility Efforts

Research and Collaboration

We collaborate with academic partners across the world to conduct research in areas like privacy, security, human/AI collaboration, trust in media, AI sustainability, explainability and transparency. Additionally, we continue to spearhead publications, collaborations, and partnerships industrywide to better understand AI implications and solve global challenges.

We value our engagement and collaboration with associations like the Coalition for Content Provenance and Authenticity (C2PA); Partnership on AI; the MLCommons® AI Safety Working Group, Business Roundtable on Human Rights and AI (sign-in required); NIST U.S. AI Safety Institute Consortium; and other multistakeholder initiatives to move this work forward—not just as a company, but as an industry.

We also have established the Intel Center of Excellence on Responsible Human-AI Systems (RESUMAIS). The multiyear effort brings together four leading research institutions, including DFKI, the German Research Center for Artificial Intelligence; the FZI Research Center for Information Technology; and Leibniz Universität Hannover, and the European Laboratory for Learning and Intelligent Systems (ELLIS) Alicante and aims to foster the ethical and user-centric development of AI.

Read more about Trusted Media

Research publications

Products and Solutions

We develop platforms and solutions to make responsible AI computationally tractable. We create software tools to ease the burden of responsible AI development and explore different algorithmic approaches to improve privacy, security and transparency and to reduce bias. We do this by conducting ethnographic research to understand pain points and address those appropriately.

Read more about the Intel® Homomorphic Encryption Toolkit 

Read more about Intel® Trust Authority

Read more about Intel’s approach to Generative AI

Read more about Intel® Explainable AI Tools

Read more about the CAM-Visualizer Toolkit

Read more about the OpenVINO™ Automatic Model Manifest Add-On Toolkit

Inclusive AI

We understand the need for equity, inclusion and cultural sensitivity in the development and deployment of AI. We strive to ensure that the teams working on these technologies are diverse and inclusive. For example, through Intel’s digital readiness programs we engage students to drive awareness about responsible AI, AI ethical principles and methods to develop responsible AI solutions. The AI technology domain should be developed and informed by diverse populations, perspectives, voices and experiences. That is why we actively engage with community colleges, which offer the chance to democratize AI technology. In the U.S. higher education system, these schools attract students from a broad variety of backgrounds and expertise. We continually seek new ways of engaging with people from all walks of life who are affected by new technologies like AI.

Read more about AI for Future Workforce

Read more about AI For Youth

Read about the AI Global Impact Festival

Initiatives

We believe that technology should enrich the life of every person on Earth. AI can create global change, provide us with powerful tools, and enable a responsible, inclusive, and sustainable future. We are harnessing the power of AI to tackle critical global challenges like pandemics, natural disasters, and global public health. We are developing AI capabilities and solutions to amplify human potential, enhance inclusion and improve accessibility for people with disabilities.

Enhancing Accessibility

For many individuals with disabilities, independence and autonomy can be a challenge. AI is helping to change that by creating products that offer alternative solutions to everyday barriers.

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Expanding Access to Education

Intel is dedicated to responding to the global AI skill gap with programs like AI for Youth and AI for Future Workforce, preparing students for the digital revolution.

Read the story

Improving Safety

From enabling automated vehicles to drive successfully to reducing child exploitation, AI technology is helping make society safer.
 

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Creating Environmental Solutions

Using AI technology, researchers can better understand how our environment works and develop solutions to build a better future.

Read the story

Advancing Healthcare

AI is now commonly used in healthcare and life sciences, from improving patient care to developing preventive disease research.

Read the story

Growing the Future of Sustainable Farming

With the help of Intel technology, Nature Fresh Farms gets fresh produce to consumers more quickly and sustainably.

Read the story

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Intel technologies may require enabled hardware, software or service activation. // No product or component can be absolutely secure. // Your costs and results may vary. // Performance varies by use, configuration, and other factors. Learn more at intel.com/performanceindex. // See our complete legal Notices and Disclaimers. // Intel is committed to respecting human rights and avoiding causing or contributing to adverse impacts on human rights. See Intel’s Global Human Rights Principles. Intel’s products and software are intended only to be used in applications that do not cause or contribute to adverse impacts on human rights.

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