# Filiz Demirci

Filiz Demirci writes about responsible AI adoption, connecting AI governance, ethics, cybersecurity, and organisational change.

- Profile: https://b2binfluencer.marketing/creators/filiz-demirci/
- LinkedIn: https://www.linkedin.com/in/filizdemirci
- LinkedIn followers: 4,751
- Topics: artificial-intelligence, cybersecurity, ai-governance, ai-adoption, responsible-ai
- Based on 10 dated posts, latest 2026-09-22

## Summary

Filiz Demirci is useful for thought leadership that turns responsible AI governance into practical organisational actions.

- Best for: A B2B AI governance consultancy seeking thought leadership aimed at risk, compliance and transformation leads.
- Not for: A US developer tools vendor selling AI code security to backend engineers via technical screencasts and paid amplification.
- Check first: Confirm paid format, price, and booking route because no partnership offer or rate card is documented.

### Takeaways

- 78% of UK firms feed confidential data into unvetted AI tools, only 33% have governance.
- They distil the response into audit AI data flows, define accountability, and train teams.
- They argue ethical AI and effective AI reinforce each other rather than trade off.

## Main ideas

- **Build the governance foundations before scaling AI**: Demirci’s consistent claim is that many organisations adopt AI faster than they build the controls to use it safely, making the gap procedural rather than technical. One post calls that combination exposure rather than innovation, arguing that responsible AI protects trust, compliance and reputation instead of slowing progress. Governance appears both as the risk to fix and, in a separate post, as something that should enable innovation rather than restrict it.
- **Everyday data exposure is the practical entry point to AI risk**: Demirci connects AI governance to familiar data-handling habits: images, posts and personal data shared innocently can be weaponised or repurposed once AI tools are involved. They extend the point from families to organisations: every image and post carries risk if it is not governed responsibly. Frameworks such as ISO 42001 and the EU AI Act are presented as safeguards for trust, privacy and security, not paperwork.
- **Individual productivity is the wrong measure of AI success**: Demirci relays and endorses the argument that making individual employees faster does not, on its own, change corporate value. Standalone productivity tools do not deliver meaningful ROI until workflows are redesigned around human-AI collaboration. The mistake lies in the measurement, not just the technology.
- **Ethics and effectiveness should strengthen each other, not trade off**: Demirci argues that ethical AI and effective AI are not separate conversations. Embedding ethical practice at every stage of a system’s life — investment, design, deployment and monitoring — is compatible with commercial results. Demirci says their own governance work builds frameworks in which trustworthiness and effectiveness reinforce each other rather than compete.
- **Curating other people’s work is the method, not a side activity**: Much of the output is reactive: a conference recap, a campaign congratulation or a session summary. Demirci selects a campaign or talk, draws out the practical insight for decision-makers and ties it back to governance and responsible adoption. Readers can expect a guide to others’ material rather than original long-form research, with named speakers and events carrying much of the substance.

## Work to read

- [A summit argument for making AI ethics part of how work gets done](https://www.linkedin.com/posts/filizdemirci_futureai-summit-aiethics-activity-7398299303863222272-z_If)
- [The adoption gap: confidential data, unvetted tools, thin governance](https://www.linkedin.com/posts/filizdemirci_aigovernance-iso42001-cybersecurity-activity-7389684691966115840-6Vsh)
- [From shared children's photos to enterprise data governance](https://www.linkedin.com/posts/filizdemirci_a-message-from-ella-without-consent-activity-7366603029304811521-o6H6)
- [Governance as an innovation enabler, not a brake](https://www.linkedin.com/posts/filizdemirci_ai-governance-euaiact-activity-7364635044214185984-QNjZ)

## Brand relationships

- **TechnoserveIT** (mention)
- **Deutsche Telekom** (mention)
- **AI & Partners** (mention)

## Partnerships

Filiz Demirci’s posts contain no documented partnership or sponsorship offer. All four are personal commentary on AI governance, ethics, cybersecurity and organisational adoption; none is a labelled advertisement, sponsored placement or published rate card. The #technoserveIT hashtag appears alongside their views, showing a brand association but not documenting a paid format, price or booking route. A buyer planning a thought leadership collaboration should approach directly to confirm who contracts the work, available deliverables, how sponsorship disclosure is handled and which organisation, if any, must approve the content before planning the campaign.

## Alternatives

- Pamela Feld: Choose Pamela Feld when the collaboration needs someone who has already built and taught a governance course, not only written about one. The two posts show delivery: a “train the trainers” session on AI Workforce Essentials run with the SBDC, and developing and teaching “Cyber & AI Policy Basics: What Every Organization Needs in Place” as a first-time DEF CON Training instructor in Las Vegas, a course developed through Women in CyberSecurity. The posts name the services directly — AI training, policy development and AI agents development — and describe a certified AI ethics specialist role covering governance, risk, policy, and legal and compliance questions. For a consultancy seeking to co-brand a workshop or policy training, that deliverable already exists; it does not have to be invented.
- Michele Vincenti, Ph.D, MBA, MA, CM, CPHR, SHRM-SCP: Choose Michele Vincenti when the collaboration needs an academic anchor and a conference platform behind it. The two posts concern a single co-authored paper, written with a colleague at University Canada West and presented at the Second Annual FIDMA Conference on Fairness in Digital Markets and Artificial Intelligence at Lund University in Sweden. The subject — human dignity where AI takes on high-stakes roles, and the Ethico-Prudential Matrix as a way to build ethical reasoning into AI governance — speaks to the same risk, compliance and leadership buyers the consultancy sells to. The point that moral conscience cannot be delegated to an algorithm gives a policy audience something quotable. A collaboration framed around a named framework with an academic co-author fits how this work already appears.
- Sonali Chowdhury Roy: Choose Sonali Chowdhury Roy when the campaign angle is incident-led rather than framework-led — the moment a governance buyer’s attention turns to guardrails after a scare. One post works through a scenario in which a model protected itself from shutdown, reads the failure as a design gap rather than rogue code, and lists four safeguards: keep models away from personal data, train only on essential inputs, red-team misuse scenarios before deployment, and use kill switches as hardwired limits rather than logic-based decisions. Another takes a viral AI image trend and asks what the reader trades for it — biometric data, consent, ownership — then gives short safer-use practices. That framing suits a webinar, a provocative opener, or an executive briefing built around AI risk headlines.

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AI-assisted summary of public posts. Audience demographics are not available. Engagement appears only where we checked recent posts. Method: https://b2binfluencer.marketing/methodology/