Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
As AI involvement expands, governance often lags behind. Would an internal charter setting ethical and operational guidelines help PMs navigate gray areas?
A charter or constitution issued from the top level of leadership goes a long way to unloading the burden of responsibility from individual team members alone to decide what is ethical or appropriate. Especially, as Agentic AI comes into play, project teams will be lean and expected to utilize these advanced technologies to gain efficiencies. A structured framework for AI governance is consistent with the structured approach to project management.
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1 reply by Lissette Indhira Pimentel Sosa
Mar 30, 2026 8:22 PM
Lissette Indhira Pimentel Sosa
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Agreed, having that clarity from leadership really helps take the pressure off teams and creates consistency in how decisions are made.
I think a charter can be helpful — but only to a point.
The real issue isn’t the absence of guidelines. It’s how decisions get made when those guidelines meet real-world ambiguity.
Most AI use cases won’t sit cleanly inside predefined boundaries. They’ll involve trade-offs:
• speed vs. risk • innovation vs. compliance • local efficiency vs. enterprise impact
A charter can define principles, but it can’t resolve those trade-offs in practice.
Where I’ve seen organizations struggle is assuming that documenting “acceptable use” will remove the gray areas — when in reality, it often just shifts them into interpretation.
The more important question becomes:
How do we make those trade-offs visible and discussable at the right level of the organization?
Without that, a charter risks becoming:
• a compliance artifact • something teams reference selectively • or something that gives a false sense of control
The organizations that seem to be navigating this well aren’t relying on static charters alone — they’re pairing them with clear decision pathways and forums where ambiguity can be surfaced and resolved.
A charter can set direction. But it’s the decision system around it that determines how AI is actually used.
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1 reply by Lissette Indhira Pimentel Sosa
Mar 30, 2026 8:22 PM
Lissette Indhira Pimentel Sosa
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Very true, guidelines alone don’t solve ambiguity. The decision-making structure around them is what really makes the difference.
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Faisal Ahmed RonyFounder & Chief Editor| Total InfoHubDhaka, Bangladesh
Absolutely, Lissette! As we explore futuristic tech at Total InfoHub, I believe an AI Charter is no longer optional—it's a necessity. Without clear boundaries, organizations risk ethical lapses and data security issues. A well-defined charter ensures that AI is used as a strategic tool to empower human decision-making, not replace it. It’s about creating a safe environment for innovation.
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1 reply by Lissette Indhira Pimentel Sosa
Mar 30, 2026 8:23 PM
Lissette Indhira Pimentel Sosa
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Setting boundaries while still enabling innovation is exactly the balance organizations need.
A charter could be the right approach. It really depends on the context of the organization. The problem you're trying to solve is not, "We need a charter," it's "We need appropriate and clear governance and decision-making." The answer could be a charter, but that may just be the starting point. It could also be adaptive governance, guardrails, embedded controls, or a combination of these approaches.
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1 reply by Lissette Indhira Pimentel Sosa
Mar 30, 2026 8:23 PM
Lissette Indhira Pimentel Sosa
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Totally agree, it’s less about the artifact itself and more about having clear governance and decision paths in place.
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Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
It is not a matter of governance. It is a matter of Responsible AI just in case you will implement generative AI in your initiative. Take a look to Responsible AI and you will find the answers inside it.
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2 replies by Aaron Porter and Lissette Indhira Pimentel Sosa
Mar 24, 2026 12:16 PM
Aaron Porter
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It is not "just" a matter of governance. I can't claim to be an expert or have the depth of experience with AI that you have, but the Responsible AI frameworks and discussions I've seen either explicitly include governance, or identify pillars like "Accountability", defining it as something like "Establishing clear lines of responsibility for AI decisions and ensuring human oversight." It's one of several pillars, but it still sounds suspiciously like governance. Governance is not always the answer, and is not always enough, but it is ONE of the answers inside Responsible AI that I've consistently found.
Additional pillars can include Fairness & Inclusiveness, Transparency & Explainability, Privacy & Security, Reliability & Safety, and Social & Environmental Well-Being. I'm sure more pillars could be identified.
Mar 30, 2026 8:23 PM
Lissette Indhira Pimentel Sosa
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Good point, Responsible AI gives a broader foundation beyond just policies or charters.
It is not a matter of governance. It is a matter of Responsible AI just in case you will implement generative AI in your initiative. Take a look to Responsible AI and you will find the answers inside it.
It is not "just" a matter of governance. I can't claim to be an expert or have the depth of experience with AI that you have, but the Responsible AI frameworks and discussions I've seen either explicitly include governance, or identify pillars like "Accountability", defining it as something like "Establishing clear lines of responsibility for AI decisions and ensuring human oversight." It's one of several pillars, but it still sounds suspiciously like governance. Governance is not always the answer, and is not always enough, but it is ONE of the answers inside Responsible AI that I've consistently found.
Additional pillars can include Fairness & Inclusiveness, Transparency & Explainability, Privacy & Security, Reliability & Safety, and Social & Environmental Well-Being. I'm sure more pillars could be identified. Saving Changes...
Senior IS Project Manager| Baycare Health SystemsClearwater, Fl, United States
I think it is a great idea to provide project managers and other project team members with guidance regarding implementation of AI within their organizations. I am aware of an organization that has created an Internal Policy Governing Use of Artificial Intelligence.
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1 reply by Lissette Indhira Pimentel Sosa
Mar 30, 2026 8:24 PM
Lissette Indhira Pimentel Sosa
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Yes, even simple internal policies can go a long way in giving teams clarity and confidence when using AI.
With the rapid advancement of artificial intelligence, it is essential for organizations to establish a clear AI usage charter and communicate it to all employees as part of their work policies. This promotes responsible use, reduces risks, and strengthens trust within teams and between the organization and stakeholders. Saving Changes...
Titan Bagus BramantyoInformation Technology Project Manager @Bukit VistaSleman, Yogyakarta, Indonesia
Based on my experience with products that heavily leverage AI, the expectation boundaries have become a workflow, outlined in a product charter to explain the background, how this AI works, and what stakeholders need to know.
I find this very helpful in clarifying the completion point of a development iteration. Saving Changes...
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
Mar 23, 2026 9:35 PM
Replying to Julie Pongrac
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A charter or constitution issued from the top level of leadership goes a long way to unloading the burden of responsibility from individual team members alone to decide what is ethical or appropriate. Especially, as Agentic AI comes into play, project teams will be lean and expected to utilize these advanced technologies to gain efficiencies. A structured framework for AI governance is consistent with the structured approach to project management.
Agreed, having that clarity from leadership really helps take the pressure off teams and creates consistency in how decisions are made. Saving Changes...
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