Responsible AI
Practical Solutions to Complex Problems
We help you achieve compliance and implement best practices in Responsible AI and data ethics.
We assess the transparency, trustworthiness and accountability of AI systems to ensure compliance with relevant legislation, and to develop a human-centred, tailored approach. We help you ensure compliance while minimising risk, resulting in practical, responsible AI solutions. Regardless of whether you’re a startup, a larger company, or a public sector organisation, we are here to help you deploy AI at scale in a trustworthy, responsible manner.
Benefits
Expert support
Access to specialists who have been doing this work for 15+ years.
Tailored advice
Receive advice and recommendations tailored to your business practices and AI systems.
Practical inputs
Information you can use immediately. You’ll know what to do and how to do it.
Building trust
By demonstrating your commitment to the responsible use of AI, you build trust among your customers.
Customers
Service Portfolio
Gap Analysis
Assess your system and its performance against new and emerging AI Regulations and Standards and to build readiness for deployment.
- EU AI Act (AIA)
- UK Transparency Recording Standard
- EU Corporate Sustainability Due Diligence Directive
- NYC AEDT Law (Local Law 144)
- California Assembly Bill 331
- NIST Framework on AI Risk Management
We leverage existing standards and frameworks, or build bespoke frameworks, depending on your organisation’s business practices and processing activities. We take a collaborative, interactive approach and align with your organisation’s strategy, values, responsibilities, and objectives.
Algorithmic Transparency & Explainability
Assess your algorithmic outputs and produce legally-sound transparency and accountability statements for all your products and systems to support the deployment of AI at scale. Our methodology includes a detailed technical breakdown of model performance and generates a report of quantitative metrics and indicators to develop a transparent and accessible explanation of how the system works.
AI Bias Audits
Examine whether an algorithm’s input data is appropriate, assess the accuracy of the algorithm and use data visualisation techniques to identify disproportionate representation and proxy correlations that may indicate bias.
Using our mature bias assessment framework, we will identify sources of bias and viable mitigation measures to address these.
We will also evaluate whether the selection of particular algorithmic model(s) (e.g., neural network generation with backpropagation, or decision-tree building with Python) are appropriate relative to the input data and the intended purpose of the system.
Responsible AI Assessments
Assess your systems’ compliance with AI Regulations and standards, including frameworks on Robustness, Fairness and Trustworthy AI. Our team will guide your organisation with concrete, actionable steps to align your products with new and emerging Regulations and standards.
For a more detailed assessment, we can look at each stage of the product development life-cycle to identify where bias can emerge and recommend potential mitigation actions.
AI Risk Management
Identify and reduce the risks associated with the internal development and deployment of innovative AI systems to support compliance, responsible AI and ESG initiatives within your organisation.
Our team leverages our 15+ year history of risk management in new technologies alongside new and emerging International AI Risk Assessment Standards (that we co-developed) to deliver a trustworthy and responsible AI system that protects your organisation and your customers.
Training
To successfully address questions of responsible AI that arise within your organisation or with the provision of a product, service or programme, you need employees who are aware of how AI works, how it is created and developed and how these processes need to embed responsible and trustworthy principles.
We offer standalone and structured training solutions for your whole organisation or specific teams. The training sessions are designed flexibly based on your objectives and requirements. Each training is designed to:
- Communicate the relevance of responsible and trustworthy AI to the strategy and business practices of your organisation.
- Build a responsible data / AI culture within your organisation.
- Build a compliance programme in relation to responsible AI frameworks and regulations.
- Ensure relevant staff and officers within your organisation (e.g., DPOs, CIOs, data scientists) have the tools they need to implement responsible AI.
Sample topics for Responsible AI training include:
- Introduction to AI for all staff
- Responsible AI practices
- AI for Data Protection staff
- Data ethics for data scientists
- Responsible AI for software development teams
Through our range of services, we help you implement the principles of Responsible AI, comply with AI laws and regulations, and guide you to create and use technology in a trustworthy and responsible way.
We can support you to address general responsible AI issues and build robust data ethics frameworks, including identifying and mitigating any bias in data sets or algorithms, demonstrating algorithmic transparency, implementing explainable AI and tackling privacy issues. We have experience in complex areas processing the most sensitive data, such as policing, children safeguarding, health and social care, education, employment and recruitment.
Assess your system and its performance against new and emerging AI Regulations and Standards and to build readiness for deployment.
- EU AI Act (AIA)
- UK Transparency Recording Standard
- EU Corporate Sustainability Due Diligence Directive
- NYC AEDT Law (Local Law 144)
- California Assembly Bill 331
- NIST Framework on AI Risk Management
We leverage existing standards and frameworks, or build bespoke frameworks, depending on your organisation’s business practices and processing activities. We take a collaborative, interactive approach and align with your organisation’s strategy, values, responsibilities, and objectives.
Assess your algorithmic outputs and produce legally-sound transparency and accountability statements for all your products and systems to support the deployment of AI at scale. Our methodology includes a detailed technical breakdown of model performance and generates a report of quantitative metrics and indicators to develop a transparent and accessible explanation of how the system works.
Examine whether an algorithm’s input data is appropriate, assess the accuracy of the algorithm and use data visualisation techniques to identify disproportionate representation and proxy correlations that may indicate bias.
Using our mature bias assessment framework, we will identify sources of bias and viable mitigation measures to address these.
We will also evaluate whether the selection of particular algorithmic model(s) (e.g., neural network generation with backpropagation, or decision-tree building with Python) are appropriate relative to the input data and the intended purpose of the system.
Assess your systems’ compliance with AI Regulations and standards, including frameworks on Robustness, Fairness and Trustworthy AI. Our team will guide your organisation with concrete, actionable steps to align your products with new and emerging Regulations and standards.
For a more detailed assessment, we can look at each stage of the product development life-cycle to identify where bias can emerge and recommend potential mitigation actions.
Identify and reduce the risks associated with the internal development and deployment of innovative AI systems to support compliance, responsible AI and ESG initiatives within your organisation.
Our team leverages our 15+ year history of risk management in new technologies alongside new and emerging International AI Risk Assessment Standards (that we co-developed) to deliver a trustworthy and responsible AI system that protects your organisation and your customers.
To successfully address questions of responsible AI that arise within your organisation or with the provision of a product, service or programme, you need employees who are aware of how AI works, how it is created and developed and how these processes need to embed responsible and trustworthy principles.
We offer standalone and structured training solutions for your whole organisation or specific teams. The training sessions are designed flexibly based on your objectives and requirements. Each training is designed to:
- Communicate the relevance of responsible and trustworthy AI to the strategy and business practices of your organisation.
- Build a responsible data / AI culture within your organisation.
- Build a compliance programme in relation to responsible AI frameworks and regulations.
- Ensure relevant staff and officers within your organisation (e.g., DPOs, CIOs, data scientists) have the tools they need to implement responsible AI.
Sample topics for Responsible AI training include:
- Introduction to AI for all staff
- Responsible AI practices
- AI for Data Protection staff
- Data ethics for data scientists
- Responsible AI for software development teams
Why Trilateral Research?
Our responsible AI experts hold PhDs in applied ethics and have 15+ years of experience operationalising ethics and implementing the principles of responsible AI.
Our team combines expert knowledge across the humanities, social science, law, computer science and data science.
We see opportunities in change and have the courage and initiative to embrace them.
We treat our colleagues and clients as we would like to be treated.
Latest Insights
Success Stories
Kevin Flanagan
CEO, CO-opts
You helped us understand that ethics is a dynamic balancing act between good and bad outcomes and taught us how to fashion the tools to walk that tightrope
Superintendent
West Midlands Police
Trilateral were commissioned by the National Data Analytics Solution (NDAS) to produce an independent academic evaluation of our Modern Slavery use-case… providing commentary on, amongst other things, the precision and recall rate of our tool along with essential ethical considerations… I found Trilateral to be professional, knowledgeable and supportive… [and they] provided the insight we needed to move the project forwards.
Alan Gooden
ADVP
ADVP contracted with Trilateral to produce an evidence-based report on the work of our industry in order to support our engagement strategy. From the outset, the Trilateral team worked closely with us to clarify the brief and keep us updated as the project progressed. It was clear that Trilateral cared about delivering exactly what we asked for. The Trilateral team delivered a final product which was accurate, relevant, on time, and on budget. We were very pleased with the result, and we have made good use of the product since.’
Commitment to Quality
Our ethics services and methods have been built out of 15 years of research, co-design with clients and empirical validation. All of our work includes a quality manager and review process. To find out more, please contact our team.
