Technical analysis and comparison of approaches to bias identification and mitigation in decision making algorithms
key details
| Value | £125,000 |
|---|---|
| Status | complete |
| Category (CPV) | 73210000 |
| Region | London |
| Deadline | 19 Mar 2020 |
| Contract start | 23 Mar 2020 |
| Contract end | 12 Jun 2020 |
| Procedure | open |
| SME suitable | Yes |
| OCID | ocds-b5fd17-ea07137f-37dd-43f3-9287-ed36256cfde7 |
Award
| Supplier | Value | Date | Status |
|---|---|---|---|
| Faculty Science Ltd | £125,000 | 19 Mar 2020 | active |
description
With particular reference to approaches within financial services and recruitment, The Centre for Data Ethics and Innovation (CDEI) is commissioning a piece of research analysing, assessing and comparing the various approaches to bias mitigation as well as providing detailed technical standards which could be used to identify bias and means for mitigating bias. We will use the outputs produced through this work to develop our recommendations for Government themed around the areas of tools, data and governance which will be published in March 2020. We will provide an initial list of tools and approaches to guide the assessment and standards development, however further work will be needed to ensure this has sufficient coverage to capture all the key approaches available. The focus of our work in this space is financial services and recruitment. Therefore, we would expect this work to provide good coverage and analysis of tools that are explicitly aimed at these two sectors.
documents
- https://www.contractsfinder.service.gov.uk/Notice/6de0b384-5b94-472e-90b5-dd10fe77340c , tenderNotice
- https://www.delta-esourcing.com/tenders/UK-UK-London:-Research-consultancy-services./M4T973ZQ3F , tenderNotice
Documents are linked, not mirrored. They are served by the publishing authority and may require registration.
notice history
2 notices published against this procurement.
| Published | Type | Regime | Notice |
|---|---|---|---|
| 28 Sept 2019 | Tender (tender) | · | 6de0b384-5b94-472e-90b5-dd10fe77340c-316596 |
| 26 Mar 2020 | Award (award) | · | fcb1f692-03ed-4e8c-99c5-b74d15f6afce-351814 |
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source
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