SOCIOTECH

Driving the development of responsible, ethical AI with human-centric, scalable methods.

What is sociotech?

Sociotech is the human-centric, scalable method we use to design and develop responsible, ethical AI, taking both technical and social factors into consideration throughout the development, implementation, and ongoing use of AI.

People

User skills and needs
Context of operations
Stakeholder engagement

Ethics

Ethical responsibility
Fairness and transparency
Trust and acceptance

Physical context

Environmental adaptation
Accessibility
Safety and security

Procedures

Efficiency
Consistency
Compliance

Regulatory environment

Risk mitigation
Data protection
Accountability

Data and data structure

Accuracy
Accessibility
Interoperability

Software

Functionality
Usability
Security

Infrastructure

Performance
Compatibility
Future-proofed

User skills and needs 

Context of operations & theory

Stakeholder engagement 

Ethical responsibility 

Fairness and transparency 

Trust and acceptance 

Environmental adaptation 

Accessibility 

Safety and security 

Risk mitigation 

Data protection 

Accountability 

Accuracy 

Accessibility 

Interoperability 

Functionality 

Usability 

Security 

Performance 

Compatibility 

Future-proofed 

Why do we use the sociotech method?

There are multiple challenges that prevent the adoption of responsible AI. Our sociotech method addresses these challenges.

Our expert, interdisciplinary and domain knowledge supplements your internal capacity and skillsets, and our co-design approach supports real, cultural change.

Our software engineers and data scientists work with your current systems and data to unpick the issues and provide holistic, user-friendly solutions. 

Our ethicists are an integral part of the AI development journey, ensuring your data and associated algorithms are as transparent, explainable, fair and trustworthy as possible. 

Our subject matter experts leverage our research-driven approach to support you throughout development, implementation and ‘Business As Usual’ making sure you get the insights you need for the problem at hand. 

Our legal advisors, data protection, responsible AI and cybersecurity specialists provide the expert knowledge to ensure your data and insights are ethical, secure and compliant. 

How does our sociotech method work?

1

Expert knowledge and insight

2

A user-centric,
co-design approach

3

Effective operational integration

Sociotech

Our sociotech principles

Ethics by design

Human-centric design principles

Internal and external governance

Co-design

Research-led

The tools we use when working with you:

IconUser needs assessment

IconOperational context

IconWorkflow analysis

IconTopic specific theoretical frameworks

IconAI bias assessment

IconExplainable AI assessment

IconAI Assurance assessment

IconData Protection Impact Assessment

IconData security controls

IconML governance

IconML validation

IconShared responsibility model

IconEthical impact assessment

IconFundamental rights impact assessment

IconData source assessment

IconTraining