AI and Common Sense

<p>Common sense is the endless frontier in the development of artificial intelligence but what exactly is common sense can we replicate it in algorithmic form and if we can – should we?</p><p>Bauer Schiele and their contributors from a range of disciplines analyse the nature of common sense and the consequent challenges of incorporating into artificial intelligence models. They look at different ways we might understand common sense and which of these ways are simulated within computer algorithms. These include sensory integration self-evident truths rhetorical common places and mutuality and intentionality of actors within a moral community. How far are these possible features within and of machines? Approaching from a range of perspectives including Sociology Political Science Media and Culture Psychology and Computer Science the contributors lay out key questions practical challenges and common sense concerns underlying the incorporation of common sense within machine learning algorithms for simulating intelligence socialising robots self-driving vehicles personnel selection reading automatic text analysis and text production.</p><p>A valuable resource for students and scholars of Science–Technology–Society Studies Sociologists Psychologists Media and Culture Studies human–computer interaction with an interest in the post-human and programmers tackling the contextual questions of machine learning.</p>