First-of-its-kind standard on AI and machine learning in research aims to preserve data integrity
Summary
The Digital Governance Standards Institute has introduced Canada's first standard for AI and machine learning in research, focusing on ethical and sustainable practices.
Why It Matters
This standard is crucial as it provides a framework for research institutions to responsibly integrate AI technologies, ensuring data integrity and ethical governance. It addresses the growing need for transparency and accountability in AI applications, particularly in public-serving research environments.
Key Takeaways
- The new standard aims to guide ethical AI and ML use in research institutions.
- It addresses risks such as algorithmic bias and information loss.
- The standard promotes transparency, oversight, and cultural sovereignty.
- It supports responsible AI adoption while preserving data integrity.
- Training and literacy initiatives are encouraged for effective implementation.
The Digital Governance Standards Institute (DGSI) has announced the release of the first Canadian standard of its kind addressing the operational and research uses of artificial intelligence (AI) and machine learning (ML) technologies in public-serving research institutions. The new national standard – “CAN/DGSI 128:2025 – Machine Learning and AI Implementation in Research Institutions” – aims to provide foundational guidelines for the ethical, transparent, and sustainable use of AI and ML technologies in research environments such as libraries, archives, universities, and laboratories, according to DGSI’s news release. “This standard will help to establish initial guidelines for research institutions, especially smaller institutions, to begin safely and effectively navigating AI adoption in trustworthy and human-centred ways,” said Matthew da Mota, chair of the expert drafting team and senior research associate of the Centre for International Governance Innovation (CIGI), in the news release. Recent Articles De Facto directors: Beware of what you did not sign up for Consumer product and automotive recalls in Canada Tax evasion vs. tax avoidance: how CRA draws the line The new standard covers the following: the minimum requirements for organizations utilizing AI tools to manage, preserve, analyze, or distribute research data and content risks like information loss, algorithmic bias, research security, and environmental effects the necessity of promoting transparency,...