AI at the service of public procurement: an experiment launched by the DAE
The Digital Administration Department (DAE) is launching an experiment to use artificial intelligence (AI) to improve the efficiency of public procurement. This experiment will be carried out in partnership with the start-up Atos.
The objective of this experiment is to test the use of AI to:
- Automate certain tasks related to public procurement, such as the analysis of tenders or the drafting of contracts.
- Improve the quality of public procurement by providing buyers with better tools to make informed decisions.
- Reduce the costs associated with public procurement.
The experiment will be conducted in two phases. The first phase will involve the development of an AI solution tailored to the needs of public procurement. The second phase will involve the deployment of this solution in a real-world setting.
The DAE hopes that this experiment will help to improve the efficiency and quality of public procurement in France.
Benefits of using AI in public procurement
There are many potential benefits to using AI in public procurement. These benefits include:
- Automation of tasks: AI can be used to automate many of the tasks that are currently performed manually by public procurement professionals. This can free up these professionals to focus on more strategic tasks.
- Improved decision-making: AI can help public procurement professionals make better decisions by providing them with better information and insights. This can lead to improved outcomes for both the public sector and the private sector.
- Reduced costs: AI can help public procurement professionals reduce costs by automating tasks and improving decision-making. This can lead to savings for both the public sector and the private sector.
Challenges of using AI in public procurement
There are also some challenges to using AI in public procurement. These challenges include:
- Data quality: AI algorithms are only as good as the data they are trained on. Public procurement data can often be incomplete, inaccurate, or inconsistent. This can make it difficult to develop AI solutions that are effective and reliable.
- Bias: AI algorithms can be biased, which can lead to unfair or discriminatory outcomes. It is important to carefully consider the potential for bias when developing and deploying AI solutions in public procurement.
- Security: Public procurement data can be sensitive and confidential. It is important to ensure that AI solutions are secure and that they protect the privacy of individuals and businesses.
Conclusion
The use of AI in public procurement has the potential to bring about significant benefits. However, it is important to be aware of the challenges that come with using AI in this context. By carefully considering these challenges and taking steps to mitigate them, public procurement professionals can harness the power of AI to improve the efficiency and quality of public procurement.
AI at the service of public purchases: an experiment launched by the DAE
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economie.gouv.fr a new article on 2025-02-18 10:18 titled “L’IA au service des achats publics : une expérimentation lancée par la DAE”. Please write a detailed article on this news item, including any relevant information. Answers should be in English.
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