Human-System Interface with Explanation of Actions for Autonomous Anti-UAV Systems

Kontos, John

doi:10.5121/ijaia.2021.12404

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…Using NLP methods proposed for assessing artificial agents’ responses in similar situations ( 49 ), “what” questions may be used for the understanding of the nature of the act of making a Will and its consequences as well as knowledge of the extent of one’s assets, and “why” questions may help disclose the testator’s understanding of the claims of those who might benefit from the Will and the impact of the distribution of the testator’s assets. The computer analysis of the human explanations mentioned above may contribute to offering advice to the expert making the assessment as to their correctness.…”

Section: Forensic Psychiatry and Artificial Intelligencementioning

confidence: 99%

Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges

Economou

Kontos

2023

Front. Psychiatry

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Testamentary capacity (TC), a set of capacities involved in making a valid Will, has become prominent in capacity evaluations due to the demographic increase in older persons and associated increase in cognitive impairment. The assessment of contemporaneous TC follows the criteria derived from the Banks v Goodfellow case, which do not bind capacity solely on the basis of presence of a cognitive disorder. Although effort is being made for establishing more objective criteria for TC judgment, variations in situational complexity call for incorporating the different circumstances of the testator in capacity assessment. Artificial intelligence (AI) technologies such as statistical machine learning have been used in forensic psychiatry mainly for the prediction of aggressive behavior and recidivism but little has been done in the area of capacity assessment. However, the statistical machine learning model responses are difficult to interpret and explain, which presents problems with regard to the new General Data Protection Regulation (GDPR) of the European Union. In this Perspective we present a framework for an AI decision support tool for TC assessment. The framework is based on AI decision support and explainable AI (XAI) technology.

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Section: Forensic Psychiatry and Artificial Intelligencementioning

confidence: 99%

Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges

Economou

Kontos

2023

Front. Psychiatry

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“…Another area of application that we have applied explainability is that of the AI anti-drone defense systems. In [5] an AI decision support system is proposed that may support a human supervising such a system. The human supervisor has the duty of approving or rejecting the proposals for mitigating alien drones of the AI anti-drone defense system considering the explanations generated of the proposal.…”

Section: Explainable Question Answeringmentioning

confidence: 99%

Analysis Dialogs and Machine Consciousness

Kontos¹

2023

Chatbots - The AI-Driven Front-Line Services for Customers

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Analysis dialogs aim at analyzing the operation of a chatbot or more generally of a question answering system to discover its limitations and maybe discover their nonhuman nature as in the case of the Turing test. The answers elicited from the system may be accompanied by explanations that are crucial for judging whether a system is self-aware. Self-awareness of question answering systems, or the so-called “artificial consciousness” require the recording of the actions that a system performs to generate its answer. These actions may be represented either as a path of state changes or as a sequence of reasoning steps. When this path or sequence is too long, an analysis dialog may aim at exploring the capability of a system to summarize the raw explanations and generate shorter explanations friendlier to the interrogating user. The real analysis dialogs of two Turing test champions, namely Chip Vivant and Mitsuku with the user are presented and commented on. The comments aim at clarifying the difficulty of these systems to answer reasonably some questions a fact that indicates their nonhuman nature. The methodology tested was applied to ChatGPT, and the results are presented with analogous comments. An appropriate subset of questions augmented by new ones was used.

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Human-System Interface with Explanation of Actions for Autonomous Anti-UAV Systems

Cited by 2 publications

References 9 publications

Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges

Testamentary capacity assessment in dementia using artificial intelligence: prospects and challenges

Analysis Dialogs and Machine Consciousness

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