The automation brought about by big data analytics, machine learning and artificial intelligence systems challenges us to reconsider fundamental questions of criminal justice. The article outlines the automation which has taken place in the criminal justice domain and answers the question of what is being automated and who is being replaced thereby. It then analyses encounters between artificial intelligence systems and the law, by considering case law and by analysing some of the human rights affected. The article concludes by offering some thoughts on proposed solutions for remedying the risks posed by artificial intelligence systems in the criminal justice domain.
COBISS.SI-ID: 2199630
The participants of the Bebras competitions solve tasks that require computational thinking (CT) skills for general problem solving. Despite the longevity and popularity of Berbas, we still lack a consensual, unambiguous definition and/or categorization of CT skills needed to solve the tasks. The paper provides empirical evidence of the ambiguity of the current categorization of CT skills. We use standard Fleiss Kappa measure of agreement among experts when assigning Berbas tasks into categories of CT skills. The measured agreement is weak, which indicates the ambiguity of the categorization and definitions of categories of skills. The paper outlines a proposal for deployment of artificial intelligence and machine learning for obtaining unambiguous categorization of CT skills from data on Berbas tasks and competitors achievements on them.
COBISS.SI-ID: 36049411
In the paper for the proceedings and at the conference, virtual assistants and how we use them in everyday life were presented. It is important to recognize different types of virtual assistants, from those that are push-button activated to those that are constantly active, to the most popular ones, such as Bixby, Siri, Alexa, etc. The latter are characterized by activation with a wake-up phrase that helps the devices to learn the user's voice. Voice must also be understood as biometric data that helps us find out much more about the user during the interaction than just the user's command for the device. With artificial intelligence, some increasingly sophisticated virtual assistants also consider the user's psychophysical states while interacting with the user.
COBISS.SI-ID: 27619587