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How might the ethical risks of hidden AI evolve as technology advances?

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Stelian ROMAN Project Manager| MicroSafety Carlingford, New South Wales, Australia

Agile organisations are at the forefront of innovation and adoption of new, modern tools and ways of working. Although Artificial intelligence started five decades ago, it has nowadays become the next big thing after Agile Transformations. As artificial intelligence (AI) becomes deeply embedded in organizational processes, its presence is not always visible to stakeholders. Hidden AI involvement refers to scenarios where AI influences outcomes, decisions, or operations without clear disclosure or transparency. While this technological integration can drive efficiency and innovation, it also raises profound ethical and governance challenges. This blog post examines these issues through the lens of the PMI Code of Ethics and Professional Conduct and foundational structures, including the Agile Practice Guide, ISO 31000, and the PMBOK® Guide.

Blog post: The Ethical Aspect of Hidden AI Involvement: Governance Concerns in Modern Practice

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Robert Snyder Founder & President| Innovation Elegance, LLC Chicago, Il, United States
Hm ... "hidden" AI versus in-the-open AI.
Covert AI versus Overt AI.

AI invests in LLMs, agents, data, and prompts.
CHI invests in discipline, empathy, leadership, and trustworthiness.

Plenty of executives want to be AI-native.
Note that these executives don't use the term trustworthiness-native.
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1 reply by Stelian ROMAN
Sep 06, 2026 8:59 PM
Stelian ROMAN
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I will call them AI-naive :). Like in the case of Agile, leaders must understand the costs and benefits of a new tool and not expect miracles. Especially when the tool is sold by a consultant.
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Stelian ROMAN Project Manager| MicroSafety Carlingford, New South Wales, Australia
Jul 26, 2026 8:00 PM
Replying to Robert Snyder
...
Hm ... "hidden" AI versus in-the-open AI.
Covert AI versus Overt AI.

AI invests in LLMs, agents, data, and prompts.
CHI invests in discipline, empathy, leadership, and trustworthiness.

Plenty of executives want to be AI-native.
Note that these executives don't use the term trustworthiness-native.
I will call them AI-naive :). Like in the case of Agile, leaders must understand the costs and benefits of a new tool and not expect miracles. Especially when the tool is sold by a consultant.

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