Spot · Test · Safeguard

AI bias workshop for companies

Train your teams to recognise algorithmic bias, test AI outputs and set practical safeguards for HR, marketing, product and leadership decisions.

In one sentence: this workshop gives non-technical business teams a clear method to detect AI bias risks before they influence decisions.
Book a 30-minute call View the programme
Half-day or full-day Onsite or online Up to 20 people No technical prerequisites
At a glance

What the workshop is

An AI bias workshop is a practical training session that helps teams spot unfair or unreliable AI outputs, understand where bias enters a process and decide which safeguards to apply.

  • Hands-on workshop on algorithmic bias, available as a half-day or full-day session.
  • Designed for HR, marketing, leadership, product and innovation teams.
  • Built around real cases, guided tests and business-friendly examples.
  • Includes an analysis framework, role-based checklists and a mini self-assessment guide.
  • Based on responsible AI principles, CNIL personal-data references and AI literacy watchpoints.
Why it matters

AI bias in companies: subtle, but very real

Algorithmic bias appears when an AI system produces, reinforces or normalises unfair treatment. It does not always come from intent. It can come from training data, a prompt, a business rule, a scoring criterion or weak human oversight.

In daily business use, the risk is concrete: CV screening, candidate scoring, marketing targeting, generated images, internal chatbots, request prioritisation, dashboards or decision support.

The workshop helps teams name what they see, test outputs before using them and decide when human review, documentation or escalation is needed.

The goal is not to dramatise AI. It is to make AI use safer, clearer and easier to discuss inside the organisation.

Programme

What your teams learn to do

The workshop is adapted to your tools, sector and maturity level. Each module turns a real AI risk into a usable team reflex.

1. Spot bias

Recognise selection, representation, confirmation, cultural and automation bias in prompts, outputs, scores and workflows.

2. Test outputs

Compare responses, vary prompts, identify proxy criteria and question results that look objective but are hard to explain.

3. Set safeguards

Define human review, double validation, edge-case testing, documentation rules and escalation points that fit your team.

Warning signs

Which signals should alert your teams?

  • Results change depending on prompt wording, with no clear reason.
  • Recommendations regularly favour the same profiles, segments or cultural references.
  • An AI-driven suggestion is difficult to explain or justify internally.
  • A variable seems neutral but may act as a proxy for a protected or sensitive characteristic.
  • Automation is accepted too quickly because the output “looks objective”.
  • No one knows which data, criteria or assumptions influenced the tool.
Use cases

Business cases covered in practice

Each case is selected with you before the session. The workshop avoids generic examples and focuses on your actual decisions.

AI-assisted recruitment

CV screening, candidate scoring, job ads, proxy criteria and HR prompts.

Marketing and content

Stereotypes in copy, visuals, targeting, segmentation and personalisation.

Chatbots and assistants

Unequal answers, tone issues, explainability gaps and customer or employee impact.

Decision support

Dashboards, scoring, automated prioritisation and the false sense of objectivity.

How it runs

A practical learning experience

Think of the workshop as blind-spot-proof glasses for AI use. Teams learn to slow down at the right moment, without blocking useful innovation.

Everyday examples

Cases close to your reality: recruitment, communications, data analysis, customer relations, reporting or internal automation.

Hands-on exercises

Participants test prompts, compare outputs and identify where bias may enter or be amplified.

Reusable tools

The session ends with a framework, checklists and a mini-guide your teams can reuse after the workshop.

AI bias workshop for companies with team members analysing algorithmic bias and responsible AI safeguards
Format

A flexible format for business teams

  • DurationHalf-day or full-day, depending on depth and number of use cases.
  • DeliveryOnsite or online.
  • ParticipantsUp to 20 people per session.
  • AudienceHR, marketing, leadership, product, innovation and operational teams.

What you receive

Bias analysis frameworkA simple method to review prompts, outputs and processes.
Role-based checklistsPractical questions for HR, marketing, product and leadership.
Mini self-assessment guideA reusable guide to review your own AI tools after the session.
Follow-up recommendationsNext steps for governance, documentation or deeper review.
Ethical boundary

What this workshop is not

Clear boundaries make the offer stronger and protect the responsible AI positioning of Prompt & Pulse.

  • It is not a legal compliance audit.
  • It does not certify an AI system as compliant with the AI Act, GDPR or any sector-specific regulation.
  • It does not replace a technical model audit, security audit or legal review.
  • It gives your teams practical AI literacy, warning signs, documentation habits and safeguards for everyday AI use.
AI literacy and governance

Useful reference points, without legal overclaiming

The workshop helps teams understand responsible AI watchpoints in plain language. It supports AI literacy and operational preparation; it does not replace legal advice.

AI literacy

Teams learn what AI can and cannot do, which risks matter in their context and how to interpret outputs with care.

CNIL references

The workshop uses CNIL practical references where AI systems involve personal data, especially data use, documentation and accountability watchpoints.

AI Act watchpoints

Participants learn governance, transparency, human oversight and non-discrimination watchpoints relevant to business use cases.

Official references: CNIL practical sheets on AI and personal data · European Commission AI literacy Q&A. Last reviewed: 15 May 2026.

Audience

This workshop is for you if…

  • Your teams use AI tools without a clear validation process.
  • You want to train non-technical teams in practical AI reflexes.
  • You have a concrete challenge in HR, marketing, customer relations or governance.
  • You want better oversight before AI uses become hard to control.
  • You need a business-friendly introduction to AI bias and safeguards.
  • You are an SME or mid-sized company starting to structure AI use.
Facilitator

Who leads the workshop?

The workshop is led by Dieneba Kouyaté-Maillard, founder of Prompt & Pulse. She supports organisations on responsible AI use, governance and reducing bias in business practices.

The approach is concrete, accessible and adapted to non-technical teams as well as more advanced profiles.

FAQ

Questions people ask before booking

Who is the AI bias workshop for?
For SME leaders, HR, marketing, product, innovation and leadership teams that use or evaluate AI tools and want to reduce bias in their decisions. No technical prerequisites are required.
What format and duration should we plan for?
Plan for a half-day or full-day session. The workshop can run onsite or online, with up to 20 participants per session to keep the exercises genuinely interactive.
What do participants take away?
Participants receive an algorithmic bias analysis framework, practical checklists, a mini self-assessment guide and recommendations they can reuse in their own AI use cases.
How can teams detect algorithmic bias in a company AI tool?
Teams can look for warning signs such as skewed recommendations, unexplained changes in outputs, hard-to-justify decisions, proxy variables and overreliance on automation because the result appears objective.
How does the workshop relate to the AI Act?
The workshop supports AI literacy and responsible AI awareness. It helps teams understand governance, transparency, human oversight and non-discrimination watchpoints. It does not certify AI Act compliance and does not replace legal advice.
Which AI tools can we analyse during the workshop?
Possible examples include recruitment screening tools, decision-support tools, conversational assistants, content generation tools, scoring systems, dashboards and internal automations.
Is this suitable for an SME just getting started with AI?
Yes. Early-stage AI use is often the right moment to set simple reference points before habits, tools and informal workflows become harder to change.
Does the workshop replace a legal or technical audit?
No. The workshop is a training and awareness format. It can help teams prepare better questions and identify when a legal, technical, security or model audit is needed.

Ready to equip your teams?

You describe your context. Prompt & Pulse proposes a workshop format that fits your AI uses, team maturity and decision risks.

Book a 30-minute call