Should AI usage in projects be disclosed to stakeholders even when it only supports internal decisions?

Artificial Intelligence

Lissette Indhira Pimentel Sosa

Community Champion

Program Manager| HARPER SRL Santo Domingo / Distrito Nacional, Dominican Republic

AI is already influencing analysis, prioritization, and communication behind the scenes. Even if stakeholders do not interact with it directly, it still shapes outcomes. The challenge is deciding whether this influence is just operational efficiency or something that requires transparency.

Posted: Aug 1, 2026 4:44 PM

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Pavan Maddi

Community Champion

Buona Vista, Singapore

I believe the level of disclosure should match the impact. If AI is only improving internal productivity, formal disclosure may not be necessary. However, if AI influences decisions, recommendations, or outcomes that affect stakeholders, transparency builds trust. Regardless of disclosure, the project manager remains accountable for every decision made.

Posted: Aug 2, 2026 2:47 AM

Hellen charless seo expert| Digital Marketing Houston, United States

AI's growing role definitely raises important questions about transparency and accountability. A practical example is the 8171 Benazir Income Programme, where AI and data-driven systems can help verify applications, prioritize cases, and detect potential fraud more efficiently. At the same time, beneficiaries deserve to understand how decisions affecting their eligibility or payments are made. AI should improve fairness and efficiency, but there should also be clear communication about when and how automated systems influence outcomes so people can trust the process.

Posted: Aug 2, 2026 3:35 AM

Luis Branco CEO| Business Insight, Consultores de Gestão, Ldª Carcavelos, Lisboa, Portugal

An important question.

I would add one further perspective.

The key issue is not simply whether AI has been used, but whether it has materially influenced decisions that affect stakeholders.

Transparency should therefore be guided less by the presence of AI than by the significance of its contribution to the decision.

When AI meaningfully shapes priorities, recommendations or outcomes, organizations should be able to explain how those insights were evaluated, who remained accountable for the final decision and why that decision can still be considered legitimate.

In that sense, transparency is ultimately not about disclosing technology.

It is about preserving trust in organizational judgment.

Posted: Aug 2, 2026 5:33 AM (Updated by author: Aug 2, 2026 5:34 AM)

Kiron Bondale Retired | Mentor| Retired Welland, Ontario, Canada

Lissette -

If we view AI as just another toolkit supporting decision making, then it would be no different than any of the other long standing tools (e.g. Monte Carlo simulation) used by teams for decades. As Pavan has said, stakeholders will hold the PM and team accountable regardless of how a decision was made.

I do envision that there could be some project contracts in which the client insists that use of AI is limited or is clearly stated based on their internal policies similar to how certain contracts these days might require project data to be housed in servers based in specific countries, but outside of those situations so long as the PM and team don't abdicate the decision making to AI, it is up to them if they wish to share which combination of tools are being used to support decision making.

Kiron

Posted: Aug 2, 2026 7:16 AM

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Should AI usage in projects be disclosed to stakeholders even when it only supports internal decisions?

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