Award

AISI - Societal Impacts - Anthropomorphism Prompt

DSIT

This public procurement record has 1 release in its history.

Award

06 Nov 2024 at 13:00

Award Notice
Summary of the contracting process

The Department of Science & Innovation Technology (DSIT) has completed a selective procurement process for their project titled "AISI - Societal Impacts - Anthropomorphism Prompt." This research and development contract, classified under CPV code 73000000, aims to explore the humanlike behaviour of advanced AI systems and their potential misuse in misinformation campaigns or financial fraud. The tender, with an estimated value of £43,462.44, involved a call-off from a dynamic purchasing system. The contract period runs from 7th October 2024 to 6th January 2025, with services to be delivered in London, United Kingdom. The procurement stage has concluded with an award announced on 6th November 2024.

This tender presents significant opportunities for SMEs and businesses involved in AI research, development, and consultancy, particularly those with expertise in anthropomorphic AI behaviour and its societal impacts. The awarded supplier, Scale AI Inc, will contribute to advancing the understanding of AI's persuasive capabilities, creating growth opportunities for businesses working on ethical AI deployment and the mitigation of its harmful applications. SMEs and organisations focusing on cutting-edge AI research are well-positioned to benefit from such contracts, driving innovation and expanding their influence in the AI domain.

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Notice Information

Notice Title

AISI - Societal Impacts - Anthropomorphism Prompt

Notice Description

AISI's Societal Impacts workstream is looking for a Supplier to contribute to one of our core research pillars: exploring the limits of Frontier AI systems' ability to persuade, deceive or manipulate people. For this project, we are specifically interested in the ability of AI systems to engage in anthropomorphic behaviour by studying variants of highly capable models that are prompted to act as humanlike as possible. This research is designed to explore human resilience to harmful use cases, such as the deployment of advanced Frontier AI for misinformation campaigns or financial fraud.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-541881d3-4b7e-4c75-a3da-3dbb12eebcf7
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/f389111e-8de0-40d4-ae27-94425c893a75
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
Award Notice
Procurement Type
Dynamic
Procurement Category
Services
Procurement Method
Selective
Procurement Method Details
Call-off from a dynamic purchasing system
Tender Suitability
SME, VCSE
Awardee Scale
SME

Common Procurement Vocabulary (CPV)

CPV Divisions

73 - Research and development services and related consultancy services

CPV Codes

73000000 - Research and development services and related consultancy services

Notice Value(s)

Tender Value
£43,462 Under £100K
Lots Value
Not specified
Awards Value
£43,462 Under £100K
Contracts Value
Not specified

Notice Dates

Publication Date
6 Nov 20241 years ago
Submission Deadline
27 Aug 2024Expired
Future Notice Date
Not specified
Award Date
6 Oct 20241 years ago
Contract Period
6 Oct 2024 - 6 Jan 2025 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Not Specified
Awards Status
Active
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DSIT
Contact Name
Not specified
Contact Email
dsit.dttgcbp@dsit.gov.uk
Contact Phone
0

Buyer Location

Locality
LONDON
Postcode
SW1A 2EG
Post Town
South West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
TLI London
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

SCALE AI

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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