Artificial Intelligence (AI) and advanced analytics offer the opportunity for increased efficiency, shared value creation and growth to societies. AI has the potential to help solve global challenges. Customers can benefit from smarter services and improved experiences. Companies can optimize production, supply chains and sales.
AI will lead to widespread changes in many dimensions, such as productivity rate and transformation of job markets. These changes need to be addressed in proactive and respectful ways.
Trust is a prerequisite for fully harvesting the AI benefits for all stakeholders. It is of utmost importance that every player that deploys AI is transparent and accountable and acts responsible in all aspects. We label this as Trusted AI ethics.
Telia Company is entering the area of AI, to date in a few narrow use cases. Machines learn, classify, sense and act to enhance human work. Narrow tasks are given to AI, but the overall process including datasets and algorithms is under human control.
Telia Company’s strategy as well as our statement of materiality and significant audiences commit the company to work actively towards the United Nation’s Sustainable Development Goals. We embrace the value and opportunity of AI as an accelerator for realizing the 2030 Agenda for Sustainable Development. We aspire to integrate sustainable, responsible business practices into all parts of business and strategy to harness AI for good.
Telia Company has a responsibility to respect human rights. Our Code of Responsible Business Conduct defines requirements which ensure the highest degree of ethical business practices and behavior.
These Guiding Principles lay out our aspirations to build Trusted AI ethics. We will review the Guiding Principles at least annually.
Telia Company Guiding Principles on trusted AI ethics
To contribute to that AI can extend and complement human abilities rather than lessen or restrict them, Telia Company provides the following Guiding Principles to its operations and employees for proactive design, implementation, testing, use and follow-up of AI.