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Find out about artificial intelligence (AI) assurance techniques

From:: Department for Science, Innovation and Technology

Find out what AI assurance is and what effective AI assurance techniques you can use in your organisation. You can also read examples of AI assurance in practice across a variety of sectors.

Portfolio of AI assurance techniques

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53 case studies

Use case

Big data analytics

Data-driven profiling

Natural language processing and generation

Image recognition and video processing

Machine learning

Deep learning

Virtual agents or artificial conversational interfaces

Robotic process automation and decision management

Robotics and autonomous vehicles/systems

Sector

Agriculture, Forestry and Fishing (SIC Code Section A)

Mining and Quarrying (SIC Code Section B)

Manufacturing (SIC Code Section C)

Energy & Utilities (SIC Code Sections D & E)

Construction (SIC Code Section F)

Retail (SIC Code Section G)

Transportation & Storage (SIC Code Section H)

Accommodation and Food Service (SIC Code Section I)

Digital & Comms (SIC Code Section J)

Financial and Insurance (SIC Code Section K)

Real Estate (SIC Code Section L)

Professional, Scientific & Professional Activities (SIC Code Section M)

Administrative & Support Services (SIC Code Section N)

Public Administration & Defence (SIC Code Section O)

Education (SIC Code Section P)

Healthcare & Social Work (SIC Code Section Q)

Arts, Entertainment & Recreation (SIC Code Section R)

Other Services (SIC Code Section S)

Principle

Safety, security and robustness

Appropriate transparency and explainability

Fairness

Accountability and governance

Contestability and redress

Key function

R&D

Product and service development

Manufacturing

Service operations

Supply chain management

Human Resources

Marketing and sales

Customer services

Risk management

Strategy and corporate finance

AI Assurance Technique

Data assurance

Compliance audit

Formal verification

Performance testing

Certification

Risk Assessment

Impact Assessment

Impact Evaluation

Conformity Assessment

Bias Audit

Assurance Warranty

Assurance Technique Approach

Technical

Procedural

Educational

Focus Sector

Financial Services

53 case studies

Principle Appropriate transparency and explainability

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53 case studies

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53 case studies

Principle Appropriate transparency and explainability

Shell: Evaluating the performance of machine learning models used in the energy sector
- Use case: Image recognition and video processing and 1 others
- Sector: Energy & Utilities (SIC Code Sections D & E)
- Principle: Safety, security and robustness and 2 others
- Key function: R&D and 1 others
- AI assurance technique: Performance testing
The Alan Turing Institute: Applying argument-based assurance to AI-based digital mental health technologies
- Sector: Professional, Scientific & Professional Activities (SIC Code Section M) and 1 others
- Principle: Appropriate transparency and explainability and 3 others
- Key function: Product and service development and 2 others
- AI assurance technique: Data assurance and 4 others
Nvidia: Explainable AI for credit risk management: applying accelerated computing to enable explainability at scale for AI-powered credit risk management using Shapley values and SHAP
- Use case: Machine learning and 1 others
- Sector: Financial and Insurance (SIC Code Section K)
- Principle: Appropriate transparency and explainability
- Key function: Risk management
- AI assurance technique: Formal verification and 1 others

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