Understand Impact Before It Scales.
A Data Ethics and Bias Assessment helps organisations identify, understand and reduce ethical risks and impacts arising from the use of different data types and algorithmic models, including AI and ML.
Early identification of impacts within the model development lifecycle allows mitigations to be implemented before harm occurs.
Assessments examine data sources, intended purpose and use, potential bias, and broader impacts to individuals and the organisation.
Deliverables.
What a Data Ethics & Bias Assessment gets you.
A comprehensive assessment of impacts to individuals and the organisation arising from data-driven tools.
Identification of data sources, intended uses, potential bias and broader impacts.
Early risk identification within the model development lifecycle, enabling timely mitigation.
A detailed report outlining findings and prioritised remediation activities to reduce identified risks and impacts.