Responsible
business innovation
Responsible AI
At Nokia, we believe in collaborating with partners, customers and industry players to accelerate innovation and progress. There is no question that AI has delivered numerous benefits in our everyday lives, but AI also carries risks. For AI to be beneficial to society, we need to make AI ethical. AI systems must be fair and reliable. They must be environmentally and socially sustainable and they must protect our privacy. This is what Nokia calls Responsible AI.
Nokia has defined six principles that should guide all AI research and development in the future. We believe these principles should be applied throughout the AI system’s lifecycle – from the moment any new AI solution is conceived and then enforced throughout its development, implementation, operation and properly handled retirement stages. These principles not only reflect the future of AI standards but also comprehensively account for our industry’s renewed focus on environmental sustainability, social responsibility and good governance.
Responsible AI, however, is more than a business imperative. Rather than being perceived as a set of rules and guidelines that limit innovation, these six pillars should be seen as an opportunity for Nokia to become a leader in ethical business practices in our industry. By embracing responsible AI, we are starting down a path toward building AI systems that offer a true competitive advantage and helping shape the AI conversation for decades to come.
Nokia participates in global and regional standardization activities to ensure that these principles are included in the ground rules for using AI systems in a responsible manner. These standards set the basis for the responsible development and use of AI.
These responsible AI practices are in line with upcoming regulations that are concerned with the environmental, social and governance implications of the use and development of AI systems.
Read more: Responsible AI
We call these principles the 6 Pillars of Responsible AI
- Fairness
- Reliability, Safety, and Security
- Privacy
- Transparency
- Sustainability
- Accountability