Michele Vincenti is a faculty member at University Canada West who writes and presents on AI ethics, leadership, and human accountability in high-stakes decisions. Their work argues that AI can inform decisions, but people must retain responsibility for them.
Michele Vincenti is useful for explaining human accountability in AI-assisted decisions and board-level AI governance.
Best for
This fits a board advisory firm or executive responsible-AI governance training on human accountability in AI decisions.
Not for
This does not fit a sponsored product launch for an AI platform vendor, paid posts, or product demonstrations.
Key takeaways
AI can inform a decision, but accountability stays with a person.
The most dangerous AI risk is a leader delegating judgment, not technical failure.
Conference paper uses Thomistic ethics and an Ethico-Prudential Matrix for AI governance.
Check first: Confirm their credentials, training record, matrix details, audience data, and whether they accept paid brand work.
Main ideas
AI can inform a decision, but accountability stays with a person · The most dangerous AI risk is not technical; it is a leader delegating judgment · Ethical limits in high-stakes AI, expressed through the Ethico-Prudential Matrix
Michele Vincenti is a University Canada West faculty member whose LinkedIn posts focus on AI ethics, leadership and human accountability.
They argue that AI can analyze information and recommend actions, but people must retain responsibility for consequential decisions.
The posts connect this argument to board-level AI governance and a co-authored paper on protecting human dignity in high-stakes AI use.
Readers interested in who should make and answer for AI-assisted decisions will find a clear, recurring argument here.
Vincenti makes AI accountability concrete by shifting attention from technology to the person responsible for a decision.
One post names hiring, lending, cybersecurity and medical diagnosis, then asks who owns the final decision; another challenges boards to look beyond algorithms, data quality and cybersecurity to leaders who may delegate judgment.
Conference-paper posts add a philosophical basis: Thomistic ethics and an Ethico-Prudential Matrix for AI governance, with examples including cybersecurity and lethal autonomous systems.
Together, these posts connect a concise leadership message to a formal ethical framework.
Readers considering Vincenti for broader work should ask for more information about their career, publication record and any signature book, show or business.
Michele Vincenti writes about artificial intelligence as a leadership and ethics problem rather than a technology problem.
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Across the four posts reviewed, the recurring claim is that AI can analyze, recommend and accelerate, but cannot carry responsibility; the human who owns a decision must remain answerable for it.
They make this case in two registers: boardroom-oriented posts asking executives which decisions should never be handed to a machine, and a co-authored academic paper grounding the same limit in Thomistic ethics and applying it to cybersecurity and lethal autonomous systems.
Another priority is accountability as a practical source of trust with customers, regulators, employees and investors.
The conference paper names co-author Dr.
Pierluigi Testa of University Canada West as a separate contributor.
AI can inform a decision, but accountability stays with a person
Vincenti's central argument is that no matter how much analysis AI performs, a human owns the final answer for a consequential decision.
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AI can analyze, recommend and accelerate; leadership and accountability cannot be delegated.
Framed as a leadership question rather than a compliance or engineering one, the argument asks: who owns the final call?
Organizations that accept this, Vincenti argues, will deploy AI more safely and earn greater trust from customers, regulators, employees and investors.
AI does not replace accountability; it makes accountability indispensable.
A post recounting a week of conversations with executives from different industries reports that technology was not their biggest concern; accountability was. It walks through cases where AI contributes to a hiring decision, approves a loan, flags a cybersecurity threat or recommends a medical diagnosis, and asks who owns the final decision in each case.
The most dangerous AI risk is not technical; it is a leader delegating judgment
Vincenti argues that boards typically look for AI risk where it is easy to see—in algorithms, data quality and cybersecurity—and says those risks are real but not where the danger usually lies.
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The sharper risk is human: a leader who hands judgment to a system instead of using AI to inform it.
AI can generate options, recommend an action and outperform experts at narrow tasks, but it cannot carry responsibility.
When a critical decision fails, the model does not answer for it; the leader does.
The organizations that win the next decade, Vincenti concludes, will be those whose leaders still know which decisions are theirs to make.
The post contrasts what every board asks with the question Vincenti says almost none ask, then reduces the difference to a practical test: which decision in your organization should never be handed to a machine?
Ethical limits in high-stakes AI, expressed through the Ethico-Prudential Matrix
In academic work, Vincenti argues that technological capability without moral accountability is risk at scale, and that AI deployment in high-stakes settings must not compromise human dignity.
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The paper holds that protecting the innocent is a non-negotiable moral principle and that moral conscience cannot be delegated to an algorithm; final responsibility rests with a human moral agent.
To make that principle usable, the paper introduces the Ethico-Prudential Matrix, a framework for integrating ethical reasoning into AI governance by bridging theology, philosophy and operational decision-making.
It presents the matrix as a concrete philosophical foundation for leaders, policymakers and organizations.
Vincenti places the work in the Thomistic tradition and connects it to leadership, cybersecurity and military ethics.
The paper, titled "The Inviolability of the Innocent in the Age of Artificial Intelligence: Thomistic Insights for Leadership, Cybersecurity, and Military Ethics," examines contexts including cybersecurity and lethal autonomous systems.
It was co-authored with Dr.
Pierluigi Testa.
Vincenti's posts describe presenting it; the framework and moral claim should be attributed to the collaborating authors, not to Vincenti alone.
The two boardroom posts state the accountability limit as a management principle for executives. The conference posts give that limit a philosophical foundation and apply it to military and cybersecurity settings, where the stakes and moral vocabulary are much higher.
Prioritising engagement between scholars and practitioners on AI that serves the common good
Vincenti treats the ethical question as a shared project, prioritising engagement with scholars and practitioners who shape AI governance.
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The stated aim is to shape AI systems that serve the common good while safeguarding what is fundamentally human, and to contribute to scholarly conversations alongside colleagues across Europe working on digital fairness and AI governance. Vincenti identifies as faculty at University Canada West and presents in that capacity.
Vincenti presented at the Second Annual Conference on Fairness in Digital Markets and Artificial Intelligence, organised by the FIDMA Network and hosted at Lund University in Sweden on March 18, 2026, representing University Canada West alongside colleague Dr. Pierluigi Testa.
What is Vincenti's central argument about AI and accountability?
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This post states the theme running through the others in one clear question: who owns the final decision?
Vincenti writes about conversations with executives across industries, whose biggest concern, they say, was accountability, not technology.
The post names high-stakes examples: AI contributing to a hiring decision, approving a loan, flagging a cybersecurity threat, or recommending a medical diagnosis.
AI can analyze, recommend, and accelerate, but leadership and accountability cannot be delegated.
The post closes by asking what governance principle organizations should establish before scaling AI.
For brands planning a campaign
A board advisory firm could open an executive session with decision categories every leader recognizes. The post turns a broad AI governance topic into a practical question: which final decisions require a named human owner?
Where does Vincenti locate the most dangerous AI risk, and what board-level question follows?
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This piece offers a sharp, boardroom-oriented take on accountability.
Vincenti says every board asks about AI risk, but almost none ask the question that matters most.
Boards look at algorithms, data quality, and cybersecurity.
Those are real risks, they say, but the most dangerous AI risk is human: a leader who delegates judgment instead of using AI to inform it.
AI can generate options, recommend action, and outperform experts on narrow tasks, but it cannot carry responsibility.
When a critical decision fails, the leader answers for it.
For brands planning a campaign
A session can use this post to move executives from technical risk registers to decision-rights exercises. The campaign angle is concrete: identify decisions that should never be handed to a machine and make accountability visible before scaling AI.
What academic work does Vincenti present, and what ethical position does it take?
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This announcement reveals the scholarly framing behind the leadership posts.
Vincenti announces a co-authored paper with Prof.
Pierluigi Testa, both faculty at University Canada West, for the Second Annual FIDMA Conference on Fairness in Digital Markets and Artificial Intelligence at Lund University, Sweden, on March 18, 2026.
The paper title is "The Inviolability of the Innocent in the Age of Artificial Intelligence: Thomistic Insights for Leadership, Cybersecurity, and Military Ethics."
They argue that technological capability without moral accountability is risk at scale, and that Thomistic ethics offers a foundation for leaders, policymakers, and organizations facing consequential AI decisions.
For brands planning a campaign
This item supports Vincenti's fit for an ethics-and-governance session.
It shows they can bridge philosophy with leadership and high-stakes AI contexts.
Ask whether they have delivered a training program based on this work.
What practical framework does the paper propose, and how does Vincenti describe the human role in AI governance?
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This post gives the clearest account of the paper's framework and moral claim.
Vincenti describes presenting at the Second Annual Conference on Fairness in Digital Markets and Artificial Intelligence, organized by the FIDMA Network in Lund, Sweden, with colleague Dr.
Pierluigi Testa representing University Canada West.
The paper examines human dignity in AI deployment, especially in cybersecurity and lethal autonomous systems.
They introduce the Ethico-Prudential Matrix as a practical framework for integrating ethical reasoning into AI governance, bridging theology, philosophy, and operational decision-making.
The core message: moral conscience cannot be delegated to an algorithm, and final responsibility must remain with a human moral agent.
For brands planning a campaign
The Ethico-Prudential Matrix gives a training session a named framework to discuss and adapt.
A campaign can ask Vincenti to show executives how the matrix applies to their high-stakes decisions.
Ask whether they have used it in an executive course.
Vincenti argues that AI can analyze, recommend, and accelerate work, but leadership and accountability cannot be delegated.
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They frame every AI decision as a leadership decision and ask who owns the final call when AI contributes to hiring, loan approval, cybersecurity threat flagging, or medical diagnosis. They also argue that the most dangerous AI risk is human: a leader who delegates judgment instead of using AI to inform it.
Vincenti uses boardroom observations and direct questions to executives to frame accountability as a leadership problem, not a technical one.
For brands planning a campaign
For a board advisory firm, this is direct material for executive sessions on decision rights, accountability, and governance principles to settle before scaling AI.
Conference posts present a paper co-authored with Dr.
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Pierluigi Testa, “The Inviolability of the Innocent in the Age of Artificial Intelligence: Thomistic Insights for Leadership, Cybersecurity, and Military Ethics.”
The paper introduces the Ethico-Prudential Matrix as a practical framework for integrating ethical reasoning into AI governance and bridging theology, philosophy, and operational decision-making.
Its core message: moral conscience cannot be delegated to an algorithm, and final responsibility must remain with a human moral agent.
Thomistic ethics provides the philosophical foundation, explicitly connecting that tradition to leadership, cybersecurity, and military ethics.
For brands planning a campaign
The matrix can anchor a governance training module, giving executives a repeatable way to discuss moral limits, human oversight, and responsibility in high-stakes AI decisions.
High-stakes AI and the protection of human dignity
Vincenti focuses on settings where AI can compromise human dignity, including cybersecurity and lethal autonomous systems, and treats protection of the innocent as a non-negotiable moral principle.
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They also name consequential everyday uses such as hiring decisions, loan approvals, threat flags, and medical diagnoses.
Vincenti pairs a broad moral principle with concrete high-stakes examples, connecting the ethical argument to operational choices.
Ask for domain-specific implementation steps if the program needs to move from ethical principles to practice.
For brands planning a campaign
A board program can use these examples to move beyond generic AI risk and work through domain-specific scenarios, escalation points, and the human review each requires.
Vincenti argues that organizations that understand accountability will deploy AI more safely and earn greater trust from customers, regulators, employees, and investors.
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AI does not replace accountability; it makes it indispensable.
For brands planning a campaign
This supports a session linking internal AI governance choices to external credibility with regulators, customers, and the workforce.
Vincenti identifies as faculty at University Canada West and presented with Dr.
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Pierluigi Testa at the Second Annual FIDMA Conference on Fairness in Digital Markets and Artificial Intelligence at Lund University, Sweden, on March 18, 2026. The posts describe their engagement with scholars and practitioners on shaping AI systems that serve the common good while safeguarding what is fundamentally human.
The posts establish Vincenti’s conference role and institutional affiliation. Ask for details of other speaking engagements, publications, and credentials beyond the named paper.
For brands planning a campaign
This suits executive programs seeking a faculty-affiliated speaker who connects academic ethics with leadership practice.
Michele Vincenti's posts mention one ongoing affiliation: they are faculty at University Canada West and presented joint academic work there with colleague Pierluigi Testa.
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They also presented the work at a conference organized by the FIDMA Network, a scholarly network rather than a commercial partner.
The posts mention no sponsorship, affiliate, client or investment relationships, or commercial offers.
Ask directly about any commercial relationships.
University Canada West
Employment
Vincenti states they are faculty at University Canada West and presented a paper as a university representative alongside colleague Pierluigi Testa.
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The posts describe teaching and research activity, not a sponsorship or paid partnership.
Michele Vincenti presented a co-authored paper at the Second Annual Conference on Fairness in Digital Markets and Artificial Intelligence, organized by the FIDMA Network and hosted at Lund University in Sweden on March 18, 2026.
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The relationship shown is participation in the network's conference, not a commercial or sponsorship arrangement.
Michele Vincenti writes about artificial intelligence as a leadership and ethics problem rather than a technology problem.
Read more
Their recurring argument is that AI can analyze, recommend, and accelerate, but cannot carry responsibility; a person has to own the final call.
They make this case in two registers: boardroom posts asking executives which decisions should never be handed to a machine, and a co-authored paper, "The Inviolability of the Innocent in the Age of Artificial Intelligence," which grounds the same limit in Thomistic ethics and applies it to cybersecurity and lethal autonomous systems.
Start with the accountability posts, then read the two posts about the paper presented at the FIDMA conference at Lund University on March 18, 2026.
The paper names the Ethico-Prudential Matrix as a framework for putting ethical reasoning into AI governance.
Three other creators work on adjacent ground: Filiz Demirci on AI governance and compliance practice, Nataly Garcia on AI governance from a legal-education perspective, and Pamela Feld on practical AI ethics and policy training.
Demirci treats AI governance and ethics as practical work for organizations, not abstract commentary.
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One post describes a conference framework for participatory ethical decision-making and sustained ethical ecosystems; another applies ISO 42001 and the EU AI Act to data protection and deepfake risk. Both writers connect responsible AI to trust, governance structures, and how organizations operate.
Demirci focuses on compliance and operating practice, including generative-AI adoption metrics and standards such as ISO 42001. Vincenti focuses on leadership accountability and moral philosophy, using boardroom questions and a Thomistic framework rather than emphasizing standards and adoption measurement.
Garcia's posts explore the same governance question Vincenti raises: how to move from principles and regulation to practical implementation.
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Garcia studies the European Master in Law, Data and Artificial Intelligence and attends conferences such as FutureLaw Tallinn and CPDP Brussels, writing about trustworthy AI, data governance, and turning ambitious frameworks into real-world outcomes. Both writers connect ethics and regulation to practical decision-making.
Garcia writes from a legal-education perspective, chronicling graduate study and a European conference circuit across law, policy, and technology. Vincenti writes from a faculty position and co-authored an original ethics framework, addressing executives and boards rather than describing a learning path.
Feld treats AI ethics as something organizations must put into policy and practice, not just discuss.
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They describe training trainers on AI workforce essentials, developing AI policy, and co-delivering a DEF CON course on cyber and AI policy basics covering governance, risk, and responsible use. That blend of ethical principle and organizational application also features in Vincenti's work.
Feld focuses on training delivery, small-business support, and cybersecurity policy basics, and names services such as policy and AI-agent development.
Vincenti focuses on executive accountability and an academic philosophical argument.
Buyers seeking training or consulting should ask whether they offer it.
For a board advisory firm assessing Michele Vincenti for executive responsible-AI governance training, the posts show relevant content fit but do not verify a boardroom audience.
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Their LinkedIn posts address executives, leaders, and governance audiences on AI accountability, AI risk, and the limits of delegating judgment to machines.
This makes the content a plausible match for a session on human accountability in AI decision-making.
To assess professional audience relevance, ask for recent audience survey results, platform demographics if available, and attendance or feedback data from comparable executive or board sessions.
LinkedIn followers
8,002
LinkedIn profile for Michele Vincenti · 2026-10-10
Michele Vincenti's posts contain no sponsorship announcement, branded-content disclosure, media kit, rate card, or published terms for working with a brand.
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The four posts are conference talks, a co-authored academic paper, and commentary on AI accountability and decision-making; none names a paying partner, sponsored segment, or commercial collaboration.
No policy on accepting sponsorships or paid work appears in either direction.
For a buyer, no packaged format is available: there is no described deliverable, placement, audience figure, or pricing structure tied to a brand relationship, so an engagement would start as a direct negotiation.
The only published channel associated with Vincenti is a LinkedIn profile, not presented as a partnership or booking route; using it to open a conversation would be normal outreach, not a published intake process.
A brand should expect to define the scope — a session, a co-authored piece, or an advisory contribution — from scratch and confirm it in writing.
Ask whether they accept such offers and, if so, on what terms.
Strong fit on subject matter and framing. Proceed with a scoped pilot, after confirming the credential and audience questions below in writing before selling the session.
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Brief
A corporate board advisory firm wants responsible-AI governance training for executives. It asks for an assessment of Michele Vincenti, a proposed session on human accountability in AI decision-making, and an outline of credentials and speaking fit.
Reasons
The brief matches the argument Vincenti already makes publicly. One post says every AI decision is ultimately a leadership decision: AI can analyze, recommend, and accelerate, but leadership and accountability cannot be delegated. That is the session the firm wants, already framed for executives.
The framing is board-level, not technical. A second post says every board asks about AI risk, but almost none ask the question that matters most. It identifies the most dangerous AI risk as human: a leader delegating judgment instead of using AI to inform it. When a critical decision fails, the model does not answer for it; the leader does. A board audience can grasp the premise without a data-science primer.
The recommendation leads to a concrete exercise, not a slogan. The accountability posts raise decision-rights questions: which decisions should never be handed to a machine, and who owns the final call when AI contributes to hiring, loan approval, threat flagging, or a medical diagnosis? That translates directly into a workshop prompt for a leadership team.
A named framework can anchor a module. The conference material presents the Ethico-Prudential Matrix as a practical framework for integrating ethical reasoning into AI governance, bridging theology, philosophy, and operational decision-making. Its stated core message is that moral conscience cannot be delegated to an algorithm and final responsibility must remain with a human moral agent.
The material states the credentials for the speaking brief: faculty at University Canada West, and a co-authored paper presented with Dr. Pierluigi Testa at the Second Annual FIDMA Conference on Fairness in Digital Markets and Artificial Intelligence at Lund University, Sweden, on 18 March 2026. That is a usable credential line for an academic-adjacent executive programme.
The topic also fits the firm's commercial interest. One post links accountability to external credibility — more trust from customers, regulators, employees, and investors — giving the advisory firm a business case to present to the client's leadership team alongside the ethics argument.
Gaps
None of the four posts shows a delivered executive training session. They document a conference presentation, a co-authored paper, and written commentary, but no course, workshop, feedback score, or client testimonial. Ask for a syllabus or session record before presenting a training programme as proven.
The posts describe the Ethico-Prudential Matrix only at headline level. The paper's full text, the matrix's dimensions, and worked applications are not included. Ask for these materials before promising published detail on the matrix in the session.
The posts establish no credentials beyond the FIDMA paper and University Canada West affiliation. The account name lists several designations, but the posts do not substantiate them, and none was independently confirmed here. Ask for documentation before including those designations in the brief.
Audience composition is unmeasured. The account shows about 8,000 LinkedIn followers as of 10 October 2026, with no breakdown by job title, employer, or seniority. Ask for audience data before claiming the booking reaches board directors based on follower count alone.
When to choose a specialist
Poor fit. Decline or reframe as an unbranded executive briefing; do not buy this as a sponsored product campaign.
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Brief
An AI platform vendor wants a sponsored product-launch campaign: paid LinkedIn posts and short-form video promoting the vendor's decision-support tool, with guaranteed impressions, click-through reporting, a product demonstration in the creator's voice, and a fixed fee per post.
Reasons
There is no commercial format to buy. The posts contain no sponsorship announcement, branded-content disclosure, media kit, rate card, or published terms for working with a brand. A vendor would have to negotiate a new format without an established deliverable, placement, or pricing structure.
The subject matter pulls against product promotion. The public argument is that the most dangerous AI risk is a leader who delegates judgment to a machine, and that accountability cannot be delegated. Asking the same person to demonstrate a decision-support tool as the answer conflicts with that position unless the vendor accepts a critical, condition-setting tone rather than a sales one.
There is no evidence the audience buys enterprise software. The posts give only a LinkedIn follower count, with no employer, occupation, or seniority breakdown. Impression and click targets would therefore rest on an unmeasured assumption about who follows the account.
The posts show no performance history: no prior sponsored posts, engagement benchmarks, or campaign results. A vendor cannot build a forecast or ROI case from the information here.
The format mismatch is structural. The work reviewed consists of long-form argument, a conference paper, and written commentary; nothing shows short-form video production, product demonstrations, or conversion-oriented calls to action.
Gaps
The posts do not establish whether Vincenti accepts paid brand work. That is a documentation gap, not a stated policy either way. Ask directly before assuming refusal or availability.
No inquiry or booking route is documented. The account links only to a LinkedIn profile, not a partnership channel. Any contact would be ordinary outreach.
A worked campaign example
Angle
A 90-minute executive session, "Who owns the final decision?", built around the accountability argument Vincenti already publishes, with a decision-rights exercise in which the client's leadership team applies the framework to its own high-stakes AI use cases.
Audience
Board and C-suite, plus the executives who own AI programmes. After the session, participants can name which AI-assisted decisions require a named human owner and state the governance principle they will adopt before scaling AI.
Credentials line for the proposal
Michele Vincenti is faculty at University Canada West and co-authored "The Inviolability of the Innocent in the Age of Artificial Intelligence: Thomistic Insights for Leadership, Cybersecurity, and Military Ethics" with Dr. Pierluigi Testa. The paper was presented at the Second Annual FIDMA Conference on Fairness in Digital Markets and Artificial Intelligence at Lund University, Sweden, on 18 March 2026.
Outline
Content
Frame AI risk as a leadership problem. Use the observed pattern: every board asks about AI risk, almost none ask the question that matters most, and the danger usually lies with the leader who delegates judgment rather than using AI to inform it. Close with the failure question: when a critical decision fails, the model does not answer for it.
Evidence
Two accountability posts address AI as a leadership decision and human risk.
Segment
Opening premise (15 minutes)
Content
Work through four scenarios named in the public material: AI contributing to a hiring decision, approving a loan, flagging a cybersecurity threat, and recommending a medical diagnosis. For each, participants identify what the system may do (analyze, recommend, accelerate) and what remains a human responsibility.
Evidence
The decision examples in the leadership-decision post.
Segment
Case walk-through (25 minutes)
Content
Participants map their own AI-assisted decisions across three columns: machine recommends, human decides with review, and human decides with no machine input. Each row gets a named accountable owner and an escalation point. The closing question Vincenti poses publicly — which decision in your organisation should never be handed to a machine — becomes the exercise prompt.
Evidence
The board question and the “which decision should never be handed to a machine” prompt.
Segment
Decision-rights exercise (30 minutes)
Content
Each participant drafts one governance principle to adopt before scaling AI, then the group agrees which principles require board sign-off. Close with the stakeholder argument: organisations that get accountability right earn greater trust from customers, regulators, employees, and investors.
Evidence
The governance-question post and the trust paragraph in the leadership-decision post.
Segment
Governance principle and close (20 minutes)
What must be built before selling
The outline is assembled from published posts; draft and pilot it before selling it as an existing programme.
Agree session length, format, fee, and materials directly; no packaged offer or rate card is documented.
The Ethico-Prudential Matrix can be named as a framework in development. Obtain the paper's text before promising participants its full detail.
Arrange a short screening or meeting to confirm delivery style; no recording of a delivered session was available for review.
Choose Filiz Demirci when the board advisory firm wants an executive briefing grounded in current industry practice and standards rather than a single moral framework.
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Demirci's posts cover a London FutureAI Summit session with AI ethics and governance speakers, and a deepfake-awareness campaign linking AI governance to ISO 42001 and the EU AI Act. For a client whose session should open with the regulatory and standards landscape, then make a practical case for trust and effectiveness, Demirci fits the task: helping executives treat responsible AI governance as an operating issue, not a compliance slogan.
The posts here are conference synthesis and awareness commentary, not a delivered executive course.
There is no named decision-rights exercise, no published framework like the Ethico-Prudential Matrix, and no session record showing how Demirci would hold a board audience through high-stakes choices.
The advisory firm would gain current standards language and lose the explicit human-accountability-through-ethics argument that makes Vincenti distinctive.
Choose Nataly Garcia when the need shifts from board-level accountability to EU law, data governance and implementation.
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Garcia's posts describe the European Master in Law, Data and Artificial Intelligence, coursework in GDPR, AI regulation and comparative digital law, and attendance at FutureLaw, CPDP, the EMILDAI summer school and an AI governance and comparative law summer school.
For a client seeking an executive session on how AI rules move from principles into compliance practice, Garcia offers a policy-and-law translator's view.
The buyer decision is who can help a leadership team understand responsible AI governance well enough to act.
Garcia's posts show academic study and conference participation, not paid advisory work, a delivered training session or a board audience record.
Their authority rests on emerging legal expertise and EU policy exposure; Vincenti's rests on a co-authored conference paper and a stated leadership argument.
A firm needing a named, tested session leader should ask Garcia for evidence of delivery experience.
Choose Pamela Feld when the board advisory firm wants a trainer who has delivered practical AI and cyber policy instruction to a working audience.
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Feld's posts describe training the trainers on AI workforce essentials, a certified AI ethics specialist role, and co-presenting "Cyber & AI Policy Basics: What Every Organization Needs in Place" at DEF CON Training Las Vegas. For an executive programme requiring workshop mechanics, prompt practice, policy basics and cybersecurity crossover, Feld matches the task more directly on delivery format.
The DEF CON class centres on what every organization needs in place, with AI policy, ethics, governance and risk as modules, rather than a board-level argument about who owns the final decision. The firm would trade Vincenti's accountability thesis for demonstrated classroom delivery in a broader cyber-and-AI policy format.
This profile draws on four complete LinkedIn posts published between February and August 2026: two on AI, leadership and accountability, and two about a co-authored paper presented at a FIDMA conference at Lund University on March 18, 2026.
The paper’s full text and broader career and publication history were not available for this account.