Responsibility, what AI requires to not be just another technological fad

Artificial intelligence (AI) has the power to transform our way of living and working and solving new and complex challenges. Its rapid advances imply important positive effects for our daily lives, such as curing diseases, improving the quality of life, and protecting natural resources. But these same advances can also lead to more risks and even adverse effects.

A quick and visual example would be the misuse of AI to develop technologies that do not respect privacy, or those that generate involuntary algorithmic biases with the consequent discriminatory results.

From Intel we have implemented strategies and processes to maintain responsibility in the use of AI from its development to its deployment, without compromising innovation, confirming its reputation as one of the most ethical companies in the world.

We have condensed this commitment into 5 pillars.

Pillars for a responsible AI

  • Review process: Intel’s Responsible AI Multidisciplinary Advisory Council reviews the entire lifecycle of an AI project and conducts an ethical impact assessment based on six key areas: human rights; human supervision; explainability, which means understanding the decisions of an explainable artificial intelligence; safety, security and reliability; personal privacy; and equity and inclusion.
  • Diversity and inclusion: Intel ensures that AI practitioners and their respective technologies are equitable and inclusive. We also recognize the need to include ethics as a fundamental part of any AI education program, which is why we invest in digital readiness programs like the AI ​​for Future Workforce Program.
  • Privacy & Security: Securing AI and maintaining data integrity, privacy, and accuracy is at the core of Intel’s R&D efforts in security and holistically, with innovations across hardware and software to enable the ecosystem to build a reliable AI.
  • Collaboration: Advances in this rapidly evolving field impact our ecosystem of partners, the industry as a whole, and the world. That’s why we continue to invest in critical research and work with academic partners in areas like privacy, security, human-AI collaboration, and sustainability.
  • Looking at the future: AI has come a long way, but there is still a lot to discover. We continue to look for ways to use this technology to drive positive change and better mitigate risk.

From theoretical AI to responsible AI

Intel AI Fake Catcher

We have already crossed the border between imagination and reality when it comes to AI, and the proof is in the explosion of generative AI applications that the whole world has experienced first-hand in the last period, especially for the generation of chats and images, so real that we have also witnessed that many images generated by artificial intelligence they are confused with facts.

There is also much talk about deepfakes, artificial intelligence technique that allows you to edit fake videos of people that look real. It can be useful to anonymize a face, but it can also be a threat and a method of forgery.

For this reason Intel Labs has made a responsible project like Fake Catcher, a technology that can detect fake videos with an accuracy rate of 96%. It is the world’s first real-time deepfake detector that returns results in milliseconds.

Generative AI, with its ability to mimic human-generated contentpresents an exciting opportunity to transform many aspects of the way we work and live.

For its part, the Amber Project provides organizations with remote verification of reliability in cloud, edge and on-premises environments. Designed to be cloud-independent, Project Amber will support sensitive computing workloads in the public cloud, private/hybrid cloud, and at the edge.

Without a doubt, AI is an incredibly powerful technology and its potential is incalculable, but it is still relatively immature. We must ensure that AI technology advances responsibly. Industry, academia and manufacturers must work together to shape our technological future, creating new possibilities that bring out the best in ourselves.

In fact, responsibility and innovation are not opposites. Innovation is technological progress that aims to amplify well-being, responsibility ensures that this progress extends to all the people of the world leaving no one behind.

Signed: Norberto Mateos, General Manager Intel Spain

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