The responsible use of AI is fundamentally about defining basic principles, managing their use and putting them into practice. The goal is to ensure the outcomes of AI initiatives and solutions are safe, reliable and ethical.
AI’s widespread accessibility marks a major opportunity, but also introduces challenges. The lack of transparency in data sources and outputs, and a largely unregulated landscape to date, creates potential risks for organizations. These risks range from privacy and copyright infringements and security threats to reputational and financial consequences.
An AI governance framework that balances positive impacts with risk mitigation is critical to unlocking AI's full potential.
- Robust: Ensure the reliability and safety of outcomes and compliance with applicable laws and regulations by enabling rigorous design, development, testing and operations processes supported by privacy and security policies and practices.
- Ethical: Ensure the goals of AI use are aligned with human values and that actively foster fairness and inclusiveness, and that the results sustainably benefit individuals, society and the environment.
- Trustworthy: Ensure AI use is based on explainable and interpretable models, as well as transparent input and outcomes. This includes taking responsibility for the AI technologies an organization controls.
CGI upholds the highest standards in developing and deploying responsible AI technologies, including for new waves of innovation such as generative AI.
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The AI regulatory landscape continues to evolve, with laws such as the EU AI Act effective August 1 2024, and many other legislative initiatives underway around the world. We are committed to adapting to and complying with evolving regulatory requirements.
We actively engage in AI governance initiatives and discussions with regulatory authorities. For example, we are a signatory of Canada’s Voluntary Code of Conduct for Artificial Intelligence and the EU AI Act Pledge as part of our wider strategic engagement with the European Commission's AI Pact
Our Responsible AI approach for developing data-driven decisions and outcomes leverages the best practices and ethical principles of scientific research, provides clear and enforceable guidelines, and includes a robust risk matrix.
As a global AI solutions leader, we use our Responsible AI approach in our own operations, as well as to help clients in every industry move responsibly from AI experimentation to implementation, while accelerating time-to-value.Â
- Designing the right levels of oversight and governance to deliver robust, ethical and trustworthy outcomes
- Understanding specific risks of different AI models
- Selecting the right combination of AI models (read more about multi-model AI ecosystems in our blog)
Read more about embracing responsible AI in our blog, including the need to ensure business and subject matter experts are included in the interpretation of responses to ensure the insights are meaningful. Our ready-made frameworks and tools shown in the figure below can help you get started to embed responsible AI in your strategy and plans from the very beginning, building it in versus bolting it on.
