Responsible AI refers to the development and deployment of artificial intelligence in ethical, safe, and trustworthy ways. By adopting responsible AI practices, companies can enhance transparency, reduce issues like AI bias, and ensure a positive impact on how AI supports work.

Different organisations may adopt their own principles for responsible AI. Companies like Microsoft and Google have developed frameworks reflecting their ethical commitments to AI development and use.

Microsoft’s Responsible AI Framework

Microsoft’s AI solutions are designed to meet ethical standards and avoid unintended negative consequences. Their approach is built around six key principles:

Fairness: AI systems should deliver high-quality services while minimising stereotypes based on demographic or cultural factors.
Reliability: AI systems must be developed in alignment with ethical values, ensuring they cause no harm.
Privacy: Strict measures ensure data privacy and prevent breaches during AI development.
Inclusiveness: Ensuring AI systems benefit and are fair to diverse users globally.
Transparency: AI developers should openly communicate the use and limitations of AI, allowing for better understanding of how these systems operate.
Accountability: Microsoft holds itself accountable for the impacts of its AI, ensuring ethical standards are consistently upheld.

By adhering to these principles, Microsoft aims to promote the responsible use of AI, addressing ethical concerns while fostering innovation.