AI Security Map: Holistic Organization of AI Security Technologies and Impacts on Stakeholders

TL;DR

This paper introduces an AI security map that holistically organizes security techniques, attacks, and impacts on stakeholders, aiding understanding of complex relationships and guiding future research.

Contribution

The paper develops a comprehensive AI security map that integrates technical and social impacts, providing a new holistic framework for understanding AI security challenges.

Findings

Identified relationships between security elements and stakeholder impacts.

Clarified how AI security issues affect both information systems and external stakeholders.

Provided recommendations and open problems for future AI security research.

Abstract

As the social implementation of AI has been steadily progressing, research and development related to AI security has also been increasing. However, existing studies have been limited to organizing related techniques, attacks, defenses, and risks in terms of specific domains or AI elements. Thus, it extremely difficult to understand the relationships among them and how negative impacts on stakeholders are brought about. In this paper, we argue that the knowledge, technologies, and social impacts related to AI security should be holistically organized to help understand relationships among them. To this end, we first develop an AI security map that holistically organizes interrelationships among elements related to AI security as well as negative impacts on information systems and stakeholders. This map consists of the two aspects, namely the information system aspect (ISA) and the external influence aspect (EIA). The elements that AI should fulfill within information systems are classified under the ISA. The EIA includes elements that affect stakeholders as a result of AI being attacked or misused. For each element, corresponding negative impacts are identified. By referring to the AI security map, one can understand the potential negative impacts, along with their causes and countermeasures. Additionally, our map helps clarify how the negative impacts on AI-based systems relate to those on stakeholders. We show some findings newly obtained by referring to our map. We also provide several recommendations and open problems to guide future AI security communities.