Overarching Narrative on Artificial Intelligence

ICC has released a four-pillar narrative on business considerations for the trustworthy, responsible and ethical development of artificial intelligence (AI). Real-life examples illustrate the effectiveness of voluntary business approaches in responding to existing AI guidelines and addressing emerging policy challenges.

Artificial intelligence is revolutionising global industries by augmenting human abilities in areas such as language processing, generating creative content, predictive analytics and analytical reasoning, as well as learning and decision-making.

As AI continues to shape economies and societies, a robust governance model becomes essential to harness its benefits while mitigating risks.

ICC outlines the four pillars of global AI governance from the perspective of global business:

Principles and codes of conduct
Regulation
Technical standards
Industry self-regulation

Each pillar plays a crucial role in fostering trustworthy, responsible and ethical AI development.

We show, how by adhering to these frameworks, businesses drive innovation, ensure compliance, and build trust, contributing to sustainable and equitable growth.

What is artificial intelligence?

Artificial intelligence is a technology that enables the simulation or extension of human intelligence in machines, allowing them to perform tasks commonly associated with human intelligence, such as speech recognition, content creation, problem-solving, learning, and decision-making, with the potential to boost productivity and augment creativity.

What are the four pillars of global artificial intelligence governance?

As AI continues to evolve, it is essential to strike a balance between realising its full potential for socioeconomic development, while ensuring that it aligns with globally shared values and principles that foster

equality,
transparency,
accountability,
fairness,
reliability,
privacy
and a human-centric approach.

Over the past decade, this has created an increasingly complex, multi-layered policy environment and a proliferation of policy and regulatory approaches which are sometimes duplicative. These different approaches are gaining rapid momentum, as the technology continues to speed ahead.