Responsible AI Statement
Building AI That's Good for Everyone
At Ingenaium, we believe AI should benefit everyone. That's why we're committed to developing AI that is ethical, transparent, fair, and safe.
Our principles
- Human-centered - AI assists people, never replaces human judgment in critical decisions
- Fair - We actively work to eliminate bias and discrimination
- Transparent - You always know when you're interacting with AI and how it works
- Private - Your data is protected and used only with your consent
- Safe - Rigorously tested and continuously monitored for security
- Accountable - Clear ownership and responsibility for every system we deploy
We don't develop AI for weapons, mass surveillance, or manipulation. We put people before profits when it comes to AI safety.
Questions about our AI or for the full Responsible AI Statement? Contact us at hello@ingenaium.com.
Table of contents
- Our commitment
- Our principles
- What we don't do
- Our process
- Governance
- Addressing bias
- Your rights
- Continuous improvement
- Reporting concerns
- Transparency
- Regulatory compliance
- Contact us
- Our promise
- About this statement
Our commitment
At Ingenaium, we believe that artificial intelligence has extraordinary potential to solve complex problems and create value. But we also recognize that AI systems carry significant responsibilities.
We are committed to developing AI that is ethical, transparent, fair, and beneficial to society. This commitment isn't just policy - it's fundamental to who we are and how we work.
Our principles
1. Human-centered and beneficial
AI should serve people, not the other way around.
We design our AI systems to:
- Augment and enhance human capabilities, not replace human judgment in critical decisions
- Prioritize human wellbeing and dignity in all our work
- Ensure meaningful human control and oversight
- Consider the broader societal impact of our technology
- Put users' interests at the center of our design process
What this means in practice:
- Our AI assists with decisions but doesn't make them autonomously
- We build in human review mechanisms for high-stakes outcomes
- We engage with affected communities when developing new systems
- We assess potential harms before deployment, not after
2. Fairness and non-discrimination
Everyone deserves to be treated fairly by AI systems.
We actively work to ensure our AI:
- Does not create or reinforce unfair bias or discrimination
- Treats all individuals and groups equitably
- Works well across diverse populations
- Respects human rights and dignity
How we achieve this:
- We test extensively for bias across age, gender, race, disability, and other protected characteristics
- We use diverse, representative training data
- We conduct fairness assessments throughout the AI lifecycle
- We provide mechanisms to challenge unfair outcomes
- We monitor deployed systems for discriminatory patterns
Our commitment: If we discover bias in our systems, we fix it. If we can't fix it adequately, we don't deploy it.
3. Transparency and explainability
You deserve to understand how AI systems work and why they make decisions.
We believe in transparency about:
- When you're interacting with AI (we always disclose AI use)
- How our AI systems work
- What data they use
- Their limitations and potential failures
- How decisions are made
What we provide:
- Clear explanations of AI decisions in language you can understand
- Information about the data and methods used
- Honest communication about what our AI can and cannot do
- Documentation of system capabilities and limitations
- Ways to question or appeal AI-assisted decisions
We acknowledge: Some AI systems are complex, but complexity is not an excuse for opacity. We work hard to make the "black box" transparent.
4. Privacy and data protection
Your data is yours. We protect it.
We respect your privacy by:
- Processing only the data necessary for the task
- Implementing privacy by design and by default
- Providing clear information about data collection and use
- Honoring your rights to access, correct, and delete your data
- Securing data with appropriate technical and organizational measures
- Complying fully with UK GDPR and Data Protection Act 2018
Our promises:
- We never sell your personal data
- We minimize data collection and retention
- We implement strong security measures
- We give you control over your data
- We conduct Data Protection Impact Assessments for high-risk processing
5. Safety, security, and robustness
AI systems must be safe, secure, and reliable.
We ensure our AI is:
- Thoroughly tested before deployment
- Protected against attacks and manipulation
- Monitored continuously for issues
- Designed to fail safely if something goes wrong
- Resilient against edge cases and unexpected inputs
Our approach:
- Comprehensive testing including adversarial testing
- Security reviews by independent experts
- Continuous monitoring and anomaly detection
- Incident response procedures
- Regular security updates and patches
- Human oversight for critical functions
6. Accountability
We take responsibility for our AI systems.
Accountability means:
- Clear ownership of every AI system we deploy
- Documented decisions and rationale
- Audit trails for AI-assisted decisions
- Mechanisms for recourse if something goes wrong
- Regular reviews and updates
- Learning from mistakes
Who's accountable:
- We assign a responsible person for each AI system
- Our AI Ethics Committee oversees high-risk systems
- Our Board receives regular reports on AI governance
- We maintain records for regulatory compliance
- We investigate and address all reported concerns
If our AI causes harm, we take responsibility and make it right.
7. Sustainability
AI development should be environmentally responsible.
We consider the environmental impact of our AI by:
- Optimizing models for energy efficiency
- Balancing performance with carbon footprint
- Using renewable energy where possible
- Being transparent about environmental costs
- Researching more sustainable AI approaches
Climate responsibility is AI responsibility.
What we don't do
Some applications of AI cross ethical lines. We will not develop AI for:
Prohibited applications
- ❌ Autonomous weapons - AI that selects and engages targets without human control
- ❌ Mass surveillance - Indiscriminate monitoring of populations
- ❌ Social scoring - Systems that rank people's social trustworthiness
- ❌ Manipulation of vulnerable groups - AI designed to exploit or deceive
- ❌ Deceptive deepfakes - Synthetic media created to harm, defame, or mislead
Applications requiring enhanced scrutiny
Some applications carry higher risks and require additional governance:
- ⚠️ Biometric identification (especially real-time in public spaces)
- ⚠️ Critical infrastructure management
- ⚠️ Employment and recruitment decisions
- ⚠️ Credit scoring and financial decisions affecting fundamental rights
- ⚠️ Law enforcement applications
- ⚠️ Healthcare diagnosis or treatment recommendations
For these applications, we require:
- Board-level approval
- Enhanced impact assessments
- Continuous monitoring
- Strong human oversight
- Regular independent audits
Our process
How we build responsible AI
1. Design phase
- Ethical risk assessment before starting
- Diverse teams to reduce bias
- Clear purpose and intended use
- Early identification of potential harms
- Stakeholder engagement
2. Development phase
- High-quality, representative training data
- Bias testing and mitigation
- Security and robustness testing
- Documentation of design decisions
- Peer review of critical systems
3. Deployment phase
- Impact assessments (ethical, privacy, equality)
- User testing with diverse groups
- Clear disclosure of AI use
- Training for human overseers
- Incident response plans
4. Operation phase
- Continuous performance monitoring
- Ongoing bias and fairness checks
- User feedback collection
- Regular audits and reviews
- Prompt issue resolution
5. Retirement phase
- Planned decommissioning process
- Secure data deletion
- Lessons learned documentation
- Post-deployment review
Governance
AI Ethics Committee
Our AI Ethics Committee oversees our responsible AI program:
Responsibilities:
- Review high-risk AI projects
- Approve or reject proposed applications
- Investigate ethical concerns
- Update policies and guidelines
- Promote ethical AI culture
Composition:
- Senior executives
- Technical experts
- Legal and compliance
- External ethics advisors
- Employee representatives
Meeting frequency: Quarterly, plus ad hoc for urgent reviews.
Oversight and accountability
- Every AI system has a designated owner
- Regular reports to our Board of Directors
- Annual responsible AI review
- External audits for high-risk systems
- Public transparency reporting
Addressing bias
AI bias is one of the most critical challenges we face. Here's how we tackle it:
Prevention
- Use diverse, representative training data
- Include diverse perspectives in design teams
- Consider fairness from the start, not as an afterthought
- Use bias detection tools during development
Detection
- Test across demographic groups
- Monitor for disparate impacts
- Use multiple fairness metrics
- Investigate unexpected patterns
- Listen to user feedback
Mitigation
- Re-balance training data
- Apply debiasing techniques
- Adjust model architecture
- Implement fairness constraints
- Add human review for edge cases
Transparency
- Disclose known limitations
- Report fairness metrics
- Explain mitigation efforts
- Acknowledge when bias cannot be eliminated
Our standard: If we can't achieve acceptable fairness, we don't deploy.
Your rights
If you interact with our AI systems, you have rights:
Right to know
- When you're interacting with AI
- How the AI system works (in understandable terms)
- What data is being used
- How to contact us with questions
Right to explanation
- Why a particular decision was made
- What factors influenced the outcome
- How to interpret the results
- What the limitations are
Right to human review
- Request human review of AI decisions
- Appeal automated decisions
- Speak to a real person
- Have your case reconsidered
Right to challenge
- Question AI outputs
- Report concerns about fairness
- Request correction of errors
- Raise ethical concerns
How to exercise your rights
- Contact us: hello@ingenaium.ai
- Response time: Within 5 working days
- No cost: Exercising these rights is free
Continuous improvement
We don't have all the answers. AI ethics is an evolving field, and we're committed to learning and improving.
How we learn - internal
- Regular team training on AI ethics
- Post-deployment reviews
- Incident analysis and lessons learned
- Cross-team knowledge sharing
How we learn - external
- Engagement with academic research
- Participation in industry initiatives
- Collaboration with civil society organizations
- Monitoring regulatory developments
User feedback
- Active listening to user concerns
- Regular satisfaction surveys
- Analysis of support tickets
- Public feedback channels
Our commitments
- ✓ Regular policy reviews and updates
- ✓ Staying current with best practices
- ✓ Being open to criticism and feedback
- ✓ Transparency about our mistakes
- ✓ Continuous investment in responsible AI
- ✓ Leading by example in our industry
Reporting concerns
See something? Say something.
We want to hear from you if you have concerns about our AI systems.
What to report:
- Unfair or biased outcomes
- Privacy violations
- Safety issues
- Unexpected behavior
- Misleading information
- Ethical concerns
How to report:
- 📧 Email: hello@ingenaium.com
- 📞 Phone: 07788 974356
- 📮 Post: AI Ethics Committee, Ingenaium Ltd, Leigh House, 28 St Paul's Street, Leeds, LS1 2JT
What happens next:
- We acknowledge your report (within 2 working days)
- We investigate thoroughly
- We take action if needed
- We update you on progress (subject to confidentiality)
- We learn and improve
Protection: We do not retaliate against anyone who raises concerns in good faith. If you're an employee, see our Whistleblowing Policy.
Transparency
What we publish
We believe in transparency about our AI practices. We publish:
AI system information:
- Types of AI systems we develop
- Intended use cases
- Known limitations
- Performance metrics (where appropriate)
Governance:
- This Responsible AI Statement
- Governance structure
- Ethics Committee activities
- Incident summaries (anonymized)
Research:
- Technical papers on our methods
- Fairness and bias research
- Case studies and lessons learned
- Contributions to open-source projects
Compliance:
- Regulatory compliance status
- Audit results (summary)
- Material changes to AI systems
- Annual responsible AI report
What we don't publish
Some information must remain confidential:
- Proprietary algorithms and trade secrets
- Personal data and individual cases
- Security vulnerabilities (until patched)
- Commercially sensitive information
We balance transparency with legitimate confidentiality needs.
Regulatory compliance
We comply with all applicable laws and regulations, including:
Current regulations
- UK GDPR and Data Protection Act 2018 - Data protection and privacy
- Equality Act 2010 - Non-discrimination
- Consumer Rights Act 2015 - Product safety and consumer protection
- Health and Safety at Work etc. Act 1974 - Safety obligations
Emerging regulations
We're preparing for evolving AI regulations:
- UK AI regulation - Pro-innovation regulatory framework
- EU AI Act - Risk-based AI regulation (for EU operations)
- Sector-specific regulations - Financial services, healthcare, etc.
We actively participate in regulatory consultations and work with regulators to shape sensible, effective AI governance.
Contact us
General AI ethics enquiries
- Email: hello@ingenaium.ai
- Response time: 5 working days
Report a concern
- Email: hello@ingenaium.ai
- Phone: 07788 974356
- Response time: 2 working days for acknowledgment
Our promise
We promise to:
- ✓ Put people before profits when it comes to AI safety
- ✓ Be transparent about our AI systems' capabilities and limitations
- ✓ Listen to concerns and act on them
- ✓ Continuously work to identify and eliminate bias
- ✓ Protect your privacy and data
- ✓ Keep humans in control of important decisions
- ✓ Take responsibility when things go wrong
- ✓ Lead by example in our industry
- ✓ Never stop learning and improving
This is not just a statement - it's our commitment to you and to the responsible development of AI.
About this statement
Published: 7 April 2026 · Last updated: 7 April 2026 · Next review: April 2027 · Version: 1.0
This statement reflects our current approach to responsible AI. We review and update it regularly to reflect our evolving practices, lessons learned, and changes in the regulatory landscape.
Questions or feedback? Contact us at hello@ingenaium.com
Ingenaium Ltd
Registered in England and Wales
Company number: 16578914
Registered office: Leigh House, 28 St Paul's Street, Leeds, LS1 2JT
Building AI that's good for everyone.