Cybersecurity challenges in Artificial Intelligence

The Cyberwatching.eu team written this report, presenting the results of the analysis of the risk and recommendations on cybersecurity services from different angles, which include an update on the challenges of emerging technologies, in particular, Artificial Intelligence (AI) and Internet of Things (IoT) thereby resulting in a set of key recommendations covering the cybersecurity services landscape.

Artificial intelligence (AI) is increasingly becoming an integral part of technology and cyberspace. AI can be implemented in systems, software and devices of varying sectors, to similar degrees of effectiveness. From the data protection perspective, AI is typically used as a tool for automated decision-making and profiling, by leveraging algorithms to process large volumes of data. In terms of AI being implemented in critical infrastructures, countries are putting AI to use in order to offer better and faster telecommunication services to citizens, run trade and stock markets by algorithms, or even create governmental procedures for voting, and managing administrative complaints. In this context, the main challenges arise when the processing activities carried out by means of AI are capable of leading to automated decisions which produce legal, or similarly significant effects on data subjects.

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