Ethical Artificial Intelligence Frameworks — Introduction International firms that are developing, distributing, or making artificial intelligence systems available face complex issues regarding the regulations of artificial intelligence today. The European Union, for example, has finalized its Artificial Intelligence Act, while many other jurisdictions are still in the process of drafting…

INTRODUCTION On June 16, 2022, the Federal government of Canada proposed Bill C-27 which contained in Part 3, the Artificial Intelligence and Data Act (“AIDA”). The Canadian government was slowly preparing since 2016 to grasp emerging technology and at the same time put a safety net around the country so that…

On October 4, 2023, Minister Champagne introduced proposed changes to bill C-27, encompassing various adjustments and supplementary requirements for the forthcoming Artificial Intelligence and Data Act (“AIDA”) in Canada. Below are the outlined amendments to the proposed AIDA. HIGH-IMPACT SYSTEM As previously covered in one of my previous stories, the…

On September 27, 2023, the ministry of Innovation, Science and Economic Development of Canada (ISED) published a Voluntary Code of Conduct on the Responsible Development and Management of Advanced Generative AI Systems. This code, effective immediately, encourages organizations developing and managing general-purpose generative AI systems to follow specific measures aligned…

Google just recently amended its privacy policy, announcing that Google will collect (or has already been doing it) all public data to train its AI systems. Privacy is a paramount consideration in the realm of artificial intelligence, emphasising the utmost importance of respecting and safeguarding individual privacy. This principle holds…

Accountability is a crucial aspect of ethics, emphasising responsibility and legal liability. In the context of the artificial intelligence industry, it raises the question of identifying who should be held accountable in cases where an AI system (AIS) malfunctions, requiring reparation, redress, restitution, or punishment. Currently, except for the humanoid…

In recent times, the global spotlight has turned towards generative AI systems, such as ChatGPT, Dall-E 2, and Midjourney. These advanced AI systems are trained on extensive datasets, enabling them to create diverse content across various forms and contexts. With their capability to handle multiple tasks — translation, summarization, code…

This ethical framework addresses the critical aspects of safety and security in artificial intelligence systems. These systems are designed to enhance human well-being, as emphasised in the Montreal Declaration of responsible artificial intelligence. Ensuring that AI systems do not cause harm is of utmost importance, particularly when used in safety-critical…

The third ethical framework is actually a pillar for the accountability principle. In order for a developer, designer or user to be held accountable, one must understand how the artificial intelligence system functions exactly. According to OECD, transparency encompasses several aspects. Firstly, it involves disclosing the use of AI in…