OPINION: Government agencies using AI must implement governance programs, or risk losing trust

Over the past year or so, we have seen tremendous advancements in generative artificial intelligence innovations, yet widespread business adoption of this new technology has largely remained stagnant. According to business leaders, that is because they are still grappling with ethical concerns and how to trust the data behind AI. When it comes to governments using AI, these tools can leapfrog public services and enhance national security. However, if AI does not have the proper ethical guardrails and human oversight, it could pose significant risks, including biased decision-making and compromising data security. As a global AI leader, IBM believes both government and industry have a role to play in ensuring AI is adopted ethically and responsibly. We have been advocating for regulations on the uses of AI which pose the greatest risk to society—such as applications which can affect a person’s ability to buy a house, or use their facial data without their consent—since 2019. But when it comes to how organizations—including government agencies—are developing and deploying AI, there are steps they can take now to safely govern its use without the need for new regulations. In this era of rapid technological advancement, the government has a unique opportunity to establish a robust framework for AI governance. By prioritizing transparency, accountability, and inclusivity, Canada can ensure that AI systems are developed and deployed in a way that respects human rights, and promotes social justice. The first step towards achieving this goal is to establish a clear governance framework. This means creating a set of principles and guidelines that prioritize the responsible use of data in AI decision-making. This framework should include provisions for data transparency, accountability, and security, as well as mechanisms for addressing bias and ensuring fairness. As AI systems rely increasingly on vast amounts of data, it is essential that we establish clear standards for data collection, storage, and use. This means developing common data formats, protocols, and architectures that enable seamless data sharing and collaboration across government agencies and departments. Another critical aspect is the need for data transparency. As AI systems make decisions that affect Canadians, it is essential that we provide clear explanations of how these decisions are made. This means developing AI systems that are transparent, explainable, and auditable, and providing Canadians with access to information about how their data is being used. As we continue to navigate the rapidly evolving landscape of AI, it is essential that we prioritize accountability and responsible adoption. Two crucial first steps are to get educated on AI, and set up a trusted AI governance dashboard. This will enable organizations in Canada to stay ahead of the curve and harness the full potential of AI to improve our daily lives, drive economic growth, and support industry adoption. However, the choices we make about how to use technology are not without consequence. Therefore, it is vital we prioritize transparency, accountability, and ethics in our approach to data governance. This requires a collective effort from government, industry, academia, and civil society to establish clear standards, guidelines, and regulations that promote responsible innovation and mitigate potential risks. Aneeta Bains is managing partner, Canadian federal public service, at IBM Canada. This opinion piece was originally published by The Hill Times. The Wire Report welcomes submissions of opinion pieces from outside contributors who are knowledgeable on the subject matter discussed. For more information on what should be included with opinion piece submissions, click here: hilltimes.com/submit-an-article. Submissions can be sent to editor Hannah Daley at hdaley@thewirereport.ca. To see previous opinion piece submissions, click here: thewirereport.ca/tag/opinion/.

OPINION: Government agencies using AI must implement governance programs, or risk losing trust

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| November 14, 2024

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OPINION: Government agencies using AI must implement governance programs, or risk losing trust

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