Thematic Intelligence: Deep Dive into Responsible AI

This Deep Dive report looks in detail at responsible AI, an increasingly popular term used to describe the management of AI-related risks from an ethical and legal perspective.

The report covers five main areas: universal AI principles, voluntary AI guidelines, AI standards and certifications, AI regulation, and AI compliance and enforcement.

Adopting a responsible AI strategy has become critical for businesses. Companies investing in responsible AI early on have an advantage over their competitors. They can show their credentials for trustworthy AI use and be prepared for any upcoming regulation.

Scope

• Sweeping AI regulation will come into force around the globe. There are currently no global regulatory standards for AI. Companies can look at voluntary guidelines as a source of best practices. In the long term, AI will require the implementation of legal guardrails.
• Companies adhering to standards benefit from a presumption of conformity. They will be assumed to be following an ethical approach to AI.

Reasons to Buy

• The journey towards responsible AI is complex and fraught with uncertainty. Risk can originate from different sources and multiply as AI systems are implemented. This report highlights the main issues associated with responsible AI and, in conjunction with the analyst's AI Governance, can help companies deploy AI responsibly and effectively.