Artificial Intelligence and Liability for its Work
نویسندگان
چکیده
منابع مشابه
Artificial Intelligence for Artificial Artificial Intelligence
Crowdsourcing platforms such as Amazon Mechanical Turk have become popular for a wide variety of human intelligence tasks; however, quality control continues to be a significant challenge. Recently, we propose TURKONTROL, a theoretical model based on POMDPs to optimize iterative, crowdsourced workflows. However, they neither describe how to learn the model parameters, nor show its effectiveness...
متن کاملArtificial Intelligence and Its Methodological Implications
Donald Gillies is one of the pioneers in the philosophical analysis of artificial intelligence (AI). In his recent book, Gillies (1996) not only makes a new and rapidly developing field of science accessible to philosophers; he also introduces philosophical topics relevant to researchers in AI and thereby helps establish a dialogue between the two disciplines. His book clearly and convincingly ...
متن کاملSymbol Grounding and its Implications for Artificial Intelligence
In response to Searle's well-known Chinese room argument against Strong AI (and more generally, computationalism), Harnad proposed that if the symbols manipulated by a robot were sufficiently grounded in the real world, then the robot could be said to literally understand. In this article, I expand on the notion of symbol groundedness in three ways. Firstly, I show how a robot might select the ...
متن کاملArtificial intelligence: its use in medical diagnosis.
In nuclear medicine, analysis, interpretation and diagnosis may each be appropriate as applications for ANNs. Image processing and pattern recognition are two application areas of ANN technology that appear promising. An ANN (21) was used to classify normal and abnormal FDG-PET scans and performed better than discriminant analysis. Favorable results have been obtained from an ANN (22) in the in...
متن کاملArtificial Intelligence and Collective Intelligence
The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may accomplish this based on its own experienc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Law. Journal of the Higher School of Economics
سال: 2019
ISSN: 2072-8166,2541-9234
DOI: 10.17323/2072-8166.2019.2.79.102