AI Adoption Requires Strong Governance Through Ethical and Risk Management Frameworks, Says Info-Tech Research Group

AI Adoption Requires Strong Governance Through Ethical and Risk Management Frameworks, Says Info-Tech Research Group

AI governance will help organizations monitor, manage and control all AI activities.

TORONTO, December 9, 2022 /PRNewswire/ – As artificial intelligence (AI) and machine learning (ML) are rapidly gaining traction as common organizational functions, concerns about the ethical and responsible use of AI technology have also started to surface. To help organizations create a framework for more transparent and unbiased AI, global IT research and advisory firm Info-Tech Research Group has released its new blueprint titled AI governance.

Info-Tech Research Group's Guide to Improving AI Governance in Organizations, Enterprise "AI governance" plan.  (CNW Group/Info-Tech Research Group)

Info-Tech Research Group’s guide to improving AI governance in organizations, based on the company’s “AI Governance” blueprint. (CNW Group/Info-Tech Research Group)

Artificial intelligence is defined as a combination of technologies that may include machine learning. These AI systems perform tasks that mimic human intelligence, such as experiential learning and problem solving. More importantly, the AI ​​can make its own decisions without human intervention. Machine learning is an AI process in which systems learn from experience without explicit instructions. Instead, patterns are “learned” and analyzed from the data to make predictions based on past behavior and learned patterns.

Often used to support or replace human decision-making, the use of AI and ML offers several potential benefits, including improved customer experience, improved operational efficiency, and automated business processes. While this makes integrating AI and ML functions into routine organizational operations attractive, it should be approached with clear expectations and concise governance procedures in place.

“As ML and AI technologies are constantly evolving, AI governance and risk management frameworks must also ensure that the appropriate safeguards and controls are in place,” said Irina Sedenkoadvisory director at Info-Tech Research Group. “To ensure accountable, transparent and ethical AI systems, organizations should review existing risk control frameworks and update them to include AI risk management and risk assessment frameworks and processes. impact.”

Based on timely research included in the AI governance blueprint from Info-Tech, the company recommends that organizations consider the following key elements for an effective AI governance framework:

  • Surveillance – Compliance and risk monitoring of AI/ML systems or models in production.

  • Organization – AI governance organization structure, roles and responsibilities.

  • Operating model – How AI governance works and works with other organizational structures to create value.

  • Risk and compliance – Alignment with enterprise risk management and ensuring compliance with regulations and assessment frameworks.

  • Policies/Procedures/Standards – Policies and procedures to support the implementation of AI governance.

  • Governance model – Accountability and traceability for AI/ML models.

  • Tools and technologies – Tools and technologies to support the implementation of the AI ​​governance framework.

There is no single governance structure for AI. Thus, Info-Tech encourages organizations to identify roles and responsibilities at the strategic, tactical and operational levels; establish an AI governance council; and identify all groups supporting AI initiatives. The maturity, size and governance structure of the company will influence the governance structure of AI.

Having an effective AI governance framework and program in place will help organizations:

  • Define AI accountability and responsibility.

  • Define the AI ​​risk management framework.

  • Support the ethical, transparent and fair use of AI.

  • Define a framework to support the governance of the ML/AI model.

The AI ​​governance framework can also be used to define a set of metrics and key performance indicators (KPIs) that can measure the success of implementing the framework.

To learn more, download the full AI governance plan.

To learn more about Info-Tech Research Group or to access the latest research, visit and connect via LinkedIn and Twitter

About the Info-Tech Research Group

Info-Tech Research Group is one of the world’s leading information technology research and consulting companies, proudly serving more than 30,000 IT professionals. The company produces unbiased and highly relevant research to help CIOs and IT managers make strategic, timely and well-informed decisions. For 25 years, Info-Tech has worked closely with IT teams to provide them with everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.

Media professionals can sign up for unlimited access to IT, HR and software research and more than 200 IT and industry analysts through the ITRG Media Insiders program. To access it, contact

Logo Info-Tech Research Group (CNW Group/Info-Tech Research Group)

Logo Info-Tech Research Group (CNW Group/Info-Tech Research Group)



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SOURCE Info-Tech Research Group

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