Responsible AI for purposeful technology

Dedicated to elevating businesses and communities, Tietoevry has championed emerging technologies for over five decades, steering through technological shifts.

We see current breakthroughs in AI, not least in language-driven AI like generative AI (highlighted by tools like ChatGPT), as signaling a new revolutionary phase, in many ways resembling the early growth of the Internet.

At Tietoevry, we immerse ourselves in the rapidly shifting AI and generative AI scene, capturing emerging possibilities, while applying an ethical and secure framework to minimize risks. Our current customer projects utilizing AI span across all business areas, enhancing efficiency and productivity, automating workflows and enabling truly data driven solutions in healthcare, manufacturing, transportation, banking, retail and more.

Our approach also includes innovative pilot projects across various sectors, designed to harness potential benefits for our customers and internal operations.

Tietoevry's journey with AI is more than just technology; it represents purpose-driven innovation, principled actions, and a dedication to benefiting our customers, the broader community, and humanity.

Tietoevry is unwavering in advocating responsible technological applications. We focus on creating AI solutions that are anchored in seven principles. These are our shared foundation, governing the usage of AI across businesses and functions, optimizing opportunities while minimizing risks​:

1. Human-centricity
2. Accountability
3. Respect, privacy and security
4. Fairness
5. Transparency
6. Reliability
7. Value

Seven guiding principles to ensure Responsible AI

Upholding the ethos of our seven responsible AI principles throughout our organization, we

• Emphasize solid governance, conducting comprehensive risk evaluations and controls before deploying solutions.
• Follow universal benchmarks, integrating ethical considerations and employing selected and curated tools.
• Strictly adhere to our company’s standards in security, privacy, ethical practices, and legal conformity, while naturally also aligning with recognized quality and risk frameworks like the EU AI Act.