Privacy Policy

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Women who Lead and Sell Artificial Intelligence (AI) Policy

Applies to:
Women Who Lead and Sell (WWLAS), including the WWLAS podcast, consulting services, coaching programmes, digital products, community platforms, and marketing activities.

Effective date: 21st February 2026
Review cycle: Annually minimum

1. Policy statement and principles

Women Who Lead and Sell (WWLAS) uses artificial intelligence responsibly to enhance creativity, efficiency, insight, and decision-making, while remaining firmly human-led.

AI is used to support and augment human work, not to replace human judgment, accountability, or professional responsibility.

Our approach to AI is guided by the following principles:

• Transparency: AI use is open, explainable where relevant, and not misleading to clients, partners, or audiences.
• Fairness: AI is used in ways that minimise bias, discrimination, or exclusion.
• Accountability: Humans remain fully accountable for all AI-supported outputs and decisions.
• Safety: AI use is proportionate, controlled, and avoids harm to individuals, clients, or the WWLAS brand.
• Contestability: AI-supported outputs can be challenged, reviewed, and corrected.

These principles align with UK regulatory expectations and reflect WWLAS’s values of integrity, trust, and responsible leadership.

2. Scope of AI use

Permitted uses

AI may be used at WWLAS to support activities such as:

• Content drafting, editing, summarisation, and ideation
• Podcast production support (e.g. research assistance, transcript analysis, show notes)
• Marketing and communications support
• Business analysis, planning support, and internal documentation
• Coaching and consulting preparation tools (non-automated, non-determinative)
• Workflow efficiency, automation, and administrative assistance

All permitted uses require appropriate human oversight and review.

Prohibited and excluded uses

AI must not be used for:

• Fully automated decision-making that materially affects clients, partners, or individuals
• Psychological profiling, behavioural manipulation, or vulnerability exploitation
• Legal, medical, financial, or regulatory advice provided without qualified human review
• High-risk profiling, scoring, or surveillance activities
• Processing special category personal data unless explicitly approved and lawfully justified
• Misrepresentation of AI-generated content as purely human where this would be misleading
• Any use that conflicts with UK law, regulatory guidance, or WWLAS values

3. Accountability and ownership

Human accountability is non-delegable.

• Overall accountability for AI use rests with WWLAS leadership.
• Operational accountability rests with the individual or team using AI tools.
• AI Accountability Person:
  Concerns, errors, risks, or complaints relating to AI use must be escalated via email to:
  Attention: AI Accountability Person

No AI system, output, or vendor removes or replaces human responsibility.

4. AI risk management approach

AI risks are identified, assessed, and managed using:

• Business layers: organisational, procurement, application, reputation
• Risk lens: legal and regulatory; governance and operational; data, IP and copyright; ethical and reputational

This approach guides decision-making, tool selection, safeguards, and controls. It ensures AI use remains proportionate, lawful, and aligned with business objectives without introducing unnecessary risk.

5. Organisational layer controls

WWLAS manages AI use at an organisational level by:

• Defining and approving acceptable AI use cases
• Assigning clear ownership for AI-supported activities
• Ensuring team members have appropriate skills, guidance, and training
• Setting clear expectations for ethical, lawful, and responsible AI use
• Reinforcing that AI outputs are aids, not final authorities

6. Procurement controls

AI tools and services are selected and approved through a controlled process that includes:

• Clear use case justification aligned with business needs
• Vendor due diligence proportionate to risk
• Review of data handling practices, IP rights, licensing, and commercial terms
• Consideration of transparency, reliability, and support arrangements
• Ongoing monitoring of performance and risk
• Exit planning to manage dependency, continuity, and data protection

7. Application and use controls

In practice, WWLAS ensures that:

• All AI outputs are reviewed by a human before use or publication
• Personal, confidential, or sensitive data is not input into AI tools unless explicitly approved
• Over-reliance on AI is actively avoided
• Known risks such as hallucinations, inaccuracies, and bias are managed through review and validation
• AI use is disclosed where transparency is appropriate or expected

8. Data protection and security

AI use at WWLAS complies with UK GDPR and internal data protection policies.

This includes:

• Lawful, fair, and transparent processing of personal data
• Data minimisation and purpose limitation
• Appropriate access controls and security measures
• Restrictions on entering personal or confidential data into AI tools
• Respect for data subject rights and confidentiality obligations

9. Intellectual property and copyright

WWLAS complies with UK copyright law and manages AI-related IP responsibly by:

• Reviewing ownership and licensing terms for AI tools and outputs
• Avoiding infringement of third-party intellectual property
• Ensuring originality and appropriate attribution where required
• Retaining human authorship and editorial control over final outputs
• Managing client and business IP consistently with contractual obligations

10. Ethical and reputational considerations

WWLAS protects fairness, inclusion, accessibility, and public trust by:

• Avoiding biased or exclusionary AI-supported content
• Considering the impact of AI use on clients, audiences, and partners
• Maintaining integrity in public-facing communications
• Ensuring AI use aligns with WWLAS’s leadership, wellbeing, and values-led positioning

11. Contestability and redress

Individuals may challenge AI-supported outputs or decisions.

WWLAS ensures that:

• Concerns can be raised through the AI Accountability Person
• Issues are reviewed promptly and fairly
• Errors or harms are corrected
• Lessons learned inform future controls and practices

12. Compliance, enforcement and review

Compliance with this policy is mandatory for:

• All WWLAS staff
• Contractors, collaborators, and third-party service providers where applicable

Breaches may result in corrective action, restriction of AI use, or termination of engagement.

This policy is reviewed at least every six months, and more frequently if legal, regulatory, or operational changes require it.