Ethical review of AI uses
I identify where AI influences content, decisions, people or recommendations. You leave with key risks, possible biases and limits to set.
Explore the AI review
Ethical AI support for SMEs
Ethical AI support for SMEs
Use AI with better human judgement. I help small teams spot bias, question AI outputs and set human validation rules before AI affects people, decisions or public-facing content.
- AI bias easier to spot
- Outputs questioned before use
- Clear limits for your team
Support options
Ethical AI support for small organisations
These formats help your team identify ethical watch points, question AI-generated outputs and define clear limits for responsible AI use.
Responsible AI prompts
I review and rewrite prompts to reduce vague instructions, limit blind spots and better frame the answers produced by AI.
Review promptsAlgorithmic bias workshop
Your team learns to spot bias, question AI outputs and strengthen human validation habits using concrete examples.
View the workshopOngoing ethical AI support
I work at your pace to set limits, clarify responsibilities and build ethical AI practices adapted to your context.
See ongoing support
How it works
A practical ethical AI review
I review real situations with your team to identify ethical risks, possible bias and limits to apply before AI outputs are used.
Identify sensitive situations
I help your team locate the moments where AI may influence a person, a decision, a communication, an analysis or a recommendation.
Risk contextQuestion AI outputs
I help you review possible bias, weak information, hallucinations, stereotypes, missing context and excessive confidence.
Output reviewSet clear limits
I help you distinguish acceptable uses, outputs to check, decisions that must remain human and situations where AI should not be used.
Usage limitsLeave with practical guidance
You leave with simple deliverables: reviewed prompts, a vigilance grid, usage rules, workshop material or practical recommendations.
Clear next steps
Who this is for
For teams using AI in sensitive contexts
This support is designed for organisations where AI outputs can influence people, decisions, communication, analysis or trust.
SMEs
You use AI in your activity and want simple, understandable and applicable rules for your team.
HR teams
You use AI to write, sort, structure or prepare decisions. You want to reduce bias before it influences your choices.
Marketing and communication
You create content with AI. You want to avoid stereotypes, verify outputs and keep human validation clear.
Associations and independents
You want to use AI without losing transparency, responsibility or alignment with your values.
Why it matters
Why ethical AI needs clear limits
AI can produce quick and convincing answers. It can also amplify bias, hide uncertainty or make a fragile output sound authoritative.
Bias can be subtle
An AI output may sound fluent and logical while containing a blind spot, stereotype or incomplete representation.
Not everything should be delegated
AI can help prepare, structure or rewrite. Decisions that affect people must remain under human responsibility.
Prompts shape answers
A vague or leading prompt can produce an answer that is biased, overconfident or poorly adapted to the context.
Trust needs visible safeguards
A team uses AI more responsibly when it knows what to check, when to ask for human validation and which limits to respect.
Who leads the work
A clear, human approach to AI ethics
Prompt & Pulse is led by Dieneba LESDEMA, an independent ethical AI consultant with international corporate experience and a practical approach to bias, prompts and human validation.
Ethical AI, without unnecessary jargon
I support small organisations that want to use AI with better judgement, without adopting a heavy or purely technical framework.
Focus on real-world effects
My work focuses on possible bias, outputs to question, decisions not to delegate, human validation and clear limits for AI use.
What this support includes
- Bias risk mapping
- Prompt review and rewriting
- Human validation rules
- Team workshops
- Ethical AI usage guidelines
What this support does not replace
- Formal legal advice
- AI model development
- IT deployment
- Technical architecture
- Certification audit
References
Useful AI ethics and risk references
These external resources help frame responsible AI discussions. They are useful references, not a substitute for legal advice.
EU AI Act official timeline
The EU AI Act applies progressively, with different dates for prohibited practices, general-purpose AI and other obligations.
View the official timeline →CNIL practical AI guidance
The French data protection authority provides practical resources on AI, data protection and GDPR watch points.
Read CNIL AI resources →NIST AI Risk Management Framework
A widely used framework for mapping, measuring and managing AI risks across real-world contexts.
Explore the NIST AI RMF →
FAQ
Questions before getting in touch
What is algorithmic bias?
Algorithmic bias is a systematic distortion in an output produced by an AI system. It can come from data, prompts, criteria, context or the way the result is interpreted.
Why should SMEs care about AI ethics?
AI can influence content, choices, decisions and interactions with people. Even in a small team, it is useful to define what AI can support, what must be checked and what should remain human.
Can this support help with EU AI Act readiness?
Yes, when relevant. If AI is used for hiring, evaluation, scoring or decisions that affect people, stronger vigilance may be needed. This support helps identify ethical and practical points of attention, without replacing formal legal advice.
Do you only work with large companies?
No. Prompt & Pulse mainly supports SMEs, small teams, independent professionals, associations and organisations that want to use AI with better judgement.
What is the difference between AI ethics and compliance?
Compliance focuses on legal obligations such as GDPR or the EU AI Act. AI ethics looks more broadly at the real impact of AI on people, decisions, practices, trust and human responsibility.
How long does ethical AI support take?
It depends on the format. A first review can take a few weeks. A prompt review can be shorter. A bias workshop can run over half a day or one day. Longer support is built around the team’s needs and pace.
Get started
Ready to use AI with better judgement?
Start with a simple conversation. You explain your context, your questions and the situations that concern you. I help identify the first ethical watch points.
- No technical preparation needed
- No jargon
- No commitment after the call