Das ist IBM

Das ist das Vertrauen

For more than a century, IBM has earned the trust of our clients by responsibly managing their most valuable data, and we have worked to earn the trust of society by ushering powerful new technologies into the world responsibly and with clear purpose.

IBM has for decades followed core principles – grounded in commitments to Trust and Transparency – that guide its handling of client data and insights, and also its responsible development and deployment of new technologies, such as IBM Watson.

We encourage all technology companies to adopt similar principles to protect client data and insights, and to ensure the responsible and transparent use of artificial intelligence and other transformative innovations. We offer our own Trust and Transparency Principles here as a roadmap. They include:

 

“Every organization that develops or uses AI, or hosts or processes data, must do so responsibly and transparently. Companies are being judged not just by how we use data, but by whether we are trusted stewards of other people’s data. Society will decide which companies it trusts.”

-Ginni Rometty, IBM Chairman, President and CEO
 

 


THE PURPOSE OF AI IS TO AUGMENT HUMAN INTELLIGENCE

The purpose of AI and cognitive systems developed and applied by IBM is to augment – not replace – human intelligence. Our technology is and will be designed to enhance and extend human capability and potential. At IBM, we believe AI should make ALL of us better at our jobs, and that the benefits of the AI era should touch the many, not just the elite few. To that end, we are investing in initiatives to help the global workforce gain the skills needed to work in partnership with these technologies.

Investing in skills for the era of man + machine
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DATA AND INSIGHTS BELONG TO THEIR CREATOR

IBM clients’ data is their data, and their insights are their insights. Client data and the insights produced on IBM’s cloud or from IBM’s AI are owned by IBM’s clients. We believe that government data policies should be fair and equitable and prioritize openness.

DATA AND INSIGHT OWNERSHIP
Clients are not required to relinquish rights to their data — nor the insights derived from that data — to have the benefits of IBM’s solutions and services.

 

Our commitments on data ownership
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DATA PRIVACY
IBM is fully committed to protecting the privacy of our clients’ data, which is fundamental in a data-driven society.

How we advance data privacy
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DATA SECURITY
IBM is devoting our powerful engines of innovation to create tools to protect our clients, their data and global trade from cyber threats. We are also convening a broader discussion on balancing security, privacy and freedom.

Protecting encryption and preventing 3rd party data access
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Advancing cybersecurity innovation and standards
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GOVERNMENT ACCESS TO DATA
IBM has not provided client data to any government agency under any surveillance program involving bulk collection of content or metadata.

Following the law, protecting client data
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CROSS-BORDER DATA FLOWS
IBM views the free movement of data across borders as essential to 21st century commerce.

Stances we take to grow the digital economy
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NEW TECHNOLOGY, INCLUDING AI SYSTEMS, MUST BE TRANSPARENT AND EXPLAINABLE

For the public to trust AI, it must be transparent. Technology companies must be clear about who trains their AI systems, what data was used in that training and, most importantly, what went into their algorithm’s recommendations. If we are to use AI to help make important decisions, it must be explainable.
IBM will make clear:

  • When and for what purposes AI is being applied in the cognitive solutions we develop and deploy.
  • The major sources of data and expertise that inform the insights of cognitive solutions, as well as the methods used to train those systems and solutions.
  • That while bias can never be fully eliminated, and our work to eliminate it will never be complete, we and all companies advancing AI have an obligation to address it proactively. We therefore continually test our systems and find new data sets to better align their output with human values and expectations.
  • The principle that clients own their own business models and intellectual property and that they can use AI and cognitive systems to enhance the advantages they have built. We will work with our clients to protect their data and insights, and will encourage our clients, partners and industry colleagues to adopt similar practices.
  • Our firm support for transparency and data governance policies that will ensure people understand how an AI system came to a conclusion or recommendation.

 

Download the Trust and Transparency PDF here.<