Trustability in Algorithmic Systems Based on Artificial Intelligence in the Public and Private Sectors

• Type: Article in International Scientific Journal
• Date: 2020

Authors

Teixeira, S (Author) Other; João Gama (Author) FEP; Pedro Amorim (Author) FEUP; figueira, g (Author) FEUP

Journal

Title: ERCIM NEWS

Vol. Edição: 122 No. SI

Pages: 8-9

ISSN: 0926-4981

Indexing

ISI Web of Knowledge - 1 Citation

Other information

Authenticus ID: P-00S-JJT

Abstract (EN): Algorithmic systems based on artificial intelligence (AI) increasingly play a role in decision-making processes, both in government and industry. These systems are used in areas such as retail, finances, and manufacturing. In the latter domain, the main priority is that the solutions are interpretable, as this characteristic correlates to the adoption rate of users (e.g., schedulers). However, more recently, these systems have been applied in areas of public interest, such as education, health, public administration, and criminal justice. The adoption of these systems in this domain, in particular the data-driven decision models, has raised questions about the risks associated with this technology, from which ethical problems may emerge. We analyse two important characteristics, interpretability and trustability, of AI-based systems in the industrial and public domains, respectively.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 2