Responsible AI

For AI to thrive in our society, we must adopt a set of ethical principles governing all AI systems. We call these principles Responsible AI.

What is Responsible AI?

Nokia has defined six principles, or pillars, that should guide all AI research and development in the future. We believe these principles should be applied the moment any new AI solution is conceived and then enforced throughout its development, implementation and operation stages.

Six pillars of Responsible AI


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    Fairness

    AI systems must be designed in ways that maximize fairness, non-discrimination and accessibility. All AI designs should promote inclusivity by correcting both unwanted data biases and unwanted algorithmic biases.


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    Reliability, Safety and Security

    AI systems should cause no direct harm and always aim to minimize indirect harmful behavior. They should always perform as intended and remain resilient against threats and outside tampering.


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    Privacy

    AI systems must respect privacy by providing individuals with agency over their data and the decisions made with it. AI systems must also respect the integrity of the data they use.


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    Transparency

    AI systems must be explainable and understandable. They should allow for human agency and oversight by producing outputs that are comprehensible to the average person. AI decisions should be auditable and traceable, which will ultimately instill the trust AI needs for broad acceptance.


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    Sustainability

    AI systems should attempt to be both societally sustainable, by empowering society and democracy, and environmentally sustainable, by reducing the amount of power required to train and run these systems.


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    Accountability

    AI systems should be developed and deployed through consultation and collaboration in order to create true accountability. The long-term effects of an AI application must be understandable by all stakeholders, and those stakeholders must be empowered to act if any proposed change produces adverse effects.