Artificial Intelligence (AI) has become the invisible driving force behind our digital and professional lives. Its widespread adoption today raises a fundamental question: Should AI become a common good? AI should not be an end in itself, but rather a strategic tool geared toward the public interest. This article explores the conditions necessary to make AI a common good that serves humanity.
Summary
Artificial intelligence has now moved beyond the purely technological realm to become a major societal issue. Viewed as a common good, it raises questions about how organizations, institutions, and society shape its development, use, and governance. At the intersection of innovation, responsibility, and societal impact, AI demands a new balance: ensuring algorithmic transparency, preserving digital trust, and harnessing technological capabilities to serve the public interest. For businesses, the challenge is no longer simply to adopt AI, but to build an ethical, sustainable form of artificial intelligence that creates shared value.Contents
The Two Faces of the AI Revolution
AI has unprecedented transformative potential to address the major challenges of our time (health, work, etc.). Technology (and therefore AI) often acts as a magnifying mirror of our own biases (read our article: 12 Human Biases in Generative AI to Understand and Overcome).
-
The Amplification of Discrimination:
An algorithm trained on biased historical data will reproduce—or even amplify—these biases (for example, in hiring or loan approval processes). -
The Digital Divide:
Unequal access to cutting-edge technologies threatens to marginalize the most vulnerable populations. -
Environmental impact:
Training large language models (LLMs) requires enormous computing power, generating a carbon footprint that runs counter to sustainable development goals.
For AI to serve the common good, this consideration must begin at the model design stage—and more specifically, at the data level. Data quality, representativeness, and governance are central to the challenges of ethical AI.
Four Conditions for AI to Become a Common Good
1. Training the engineers of tomorrow
When it comes to AI, engineers must return to what they have always been: educators, change agents, and builders of solutions that serve society.
AI involves a shift in values and the reallocation of resources: designing artificial intelligence systems amounts to making economic and social choices. In this context, ethical consideration is no longer an option.
2. Promote open source
AI Must Not Become a Monopoly on Knowledge Artificial intelligence is a major driver of economic and social development. But access to it remains largely dominated by a few major technology companies.
Open source can restore balance to this dynamic by:
- making models and knowledge more accessible
- accelerating innovation
- limiting certain technological dependencies.
Innovation cannot be sustainable if it benefits only a few. Universities, businesses, and government agencies share a collective responsibility to transform cutting-edge technology into a tool that is accessible to all.
3. Implement an “educational big bang”
Democratizing AI requires placing education at the heart of public policy: raising awareness and fostering critical thinking from an early age is essential.
Understanding Algorithms and Data, biases and digital manipulation mechanisms will be just as fundamental in the future as knowing how to read, write, or count.
Universities, businesses, and government agencies share a collective responsibility to transform cutting-edge technology into a tool that is accessible to everyone.
4. Establish Equitable Governance
In the future, whoever controls artificial intelligence models will control part of the global production of knowledge, the economy, and information. Accepting this situation without a collective framework would amount to surrendering part of our democratic sovereignty.
Regulation is needed to promote fairer distribution, and and many initiatives aim to move in this direction.
AI Consulting Firm
As a strategy and transformation consulting firm, iQo places AI at the heart of its business model. Understanding all the challenges of AI today, while providing our clients with the right AI tools, is central to our approach. We place AI at the heart of a hybrid consulting approach to deliver concrete, results-oriented solutions.
Frequently Asked Questions
Why talk about artificial intelligence as a common good?
What are the ethical issues related to AI?
What role do companies play in ensuring that AI serves the common good?
How can we build responsible and sustainable artificial intelligence?
Embedding Generative AI in Practices for the Long Term: Why Usage Matters More Than Technology
Generative AI creates value when it is embedded in business practices. Discover how to establish sustainable, value-driven use cases within your organization. Summary: Artificial intelligence has never been
5 Ways AI Can Drive Business Transformation
What are the five main applications of Artificial Intelligence, and what is their strategic impact on businesses? Our Data & AI experts share their insights. Table of Contents Artificial Intelligence (AI)
Tech For Good
Digital Innovation to Address Social, Health, and Environmental Needs At iQo, we are convinced that tech companies today must go further and avoid “purpose”
