Responsible use
AI is not an end in itself, but a strategic capacity that organizations can develop and mature to achieve specific, measurable and transformative results. A capacity where the journey from pilot projects or short-term plans to large-scale implementations is a task that requires solid planning.
This planning should consider various aspects that have a direct impact on implementation, in particular, all those related to how data should be treated, manipulated and managed. Thus, the data management strategy of the Public Administration, its existing regulations on privacy and data protection, its openness policy and available data as well as the regulation related to information security, among others, will be strongly linked to the success of the use of AI in this area. Therefore, building a Public Administration based on data, where these are considered a critical asset, is key to the success of AI initiatives; a practice that combines business and technology understanding and skills.
Due to the complex nature of AI solutions, solutions that use this technology can generate unpredictable or unexpected results. These results may even seem opaque due to the difficulty in explaining the results obtained.
Although transparency is a vital element for trust, there is a challenge that the Public Administration must contemplate: establishing the level of opacity to address (and even in what contexts) in order to take advantage of the potential offered by AI, whether using open source or even proprietary solutions, always in accordance with current regulations.
Together with the development of capacities, all the aforementioned aspects make it relevant to implement lines of action that strengthen the good use of AI, through the generation of technical guidelines, guides and good practices that can be shared in the Public Administration. In view of this, the following objectives have been defined:
OBJECTIVE V: To generate technical guides for the good use of AI in Public Administration
- To develop technical guides for problem selection, as well as the design and implementation of AI-based solutions. These guidelines should consider, among other aspects, the relevance of the use of AI services in the cloud, the identification of appropriate tools for different cases of application, protection and data privacy, etc.
- To strengthen the integration, good management and availability of quality data in the PA, as well as data of private public interest, thus generating the necessary inputs for the generation of AI-based systems of high quality and added value.
OBJECTIVE VI: To promote algorithm transparency
- To define standards, guidelines and recommendations for impact analysis, monitoring and auditing of the decision-making algorithms used in PA, as well as for their interpretability and explainability.
- Establish standards and procedures for the dissemination of the processes used for the development, training and commissioning of algorithms and AI systems, as well as the results obtained.
OBJECTIVE VII: To design specific action plans in strategic sectors.
- To design specific action plans to strengthen the responsible use of AI in defined strategic sectors
- To implement concept tests and pilots in the defined strategic sectors