UID:
almahu_9949744357502882
Umfang:
XVII, 149 p. 38 illus., 36 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2024.
ISBN:
9783031537479
Serie:
Synthesis Lectures on Computer Science,
Inhalt:
This book goes beyond the current hype of expectations generated by the news on artificial intelligence and machine learning by analyzing realistic expectations for society, its limitations, and possible future scenarios for the use of this technology in our current society. Artificial Intelligence is one of the top topics today and is inflating expectations beyond what the technology can do in the foreseeable future. The future cannot be predicted, but the future of some elements of our society, such as technology, can be estimated. This book merges the modeling of human reasoning with the power of AI technology allowing readers to make more informed decisions about their personal or financial decisions or just being more educated on current technologies. This book presents a model that sketches potential future scenarios based on a discussion of the expectations today, the analysis of the current gap in the literature, and a view of possible futures in terms of technology and use cases. Specifically, this book merges literature on the technology aspects, the sociological impacts, and philosophical aspects.
Anmerkung:
AI and Machine Learning: Fast Forwarding the Technology from Then to Now -- A Brief Overview of the Current Technology and Applications -- Mimicking Humans: Do We Need a Model for our Reasoning? -- The Literature and Academic Bias: Statistics on Steroids vs. Philosophy -- The News and Market Bias: Hyper Expectation Sells -- Projecting the Past to Get Indications on the Future: An Algorithm for Predictions -- Evaluating the Gap Between Expectations and Possible Future Scenarios -- The Impact on Technology: Evaluating the Current Developments Considering the Future Scenarios -- The impact on Society: The Expectations and the Possible Futures.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031537462
Weitere Ausg.:
Printed edition: ISBN 9783031537486
Weitere Ausg.:
Printed edition: ISBN 9783031537493
Sprache:
Englisch
DOI:
10.1007/978-3-031-53747-9
URL:
https://doi.org/10.1007/978-3-031-53747-9
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