Artificial Intelligence – A Very Short Introduction – Margaret A.Boden

Biologists, too, have used AI—in the form of ‘artificial life’ (A-Life), which develops computer models of differing aspects of living organisms. This helps them to explain various types of animal behaviour, the development of bodily form, biological evolution, and the nature of life itself. Besides affecting the life sciences, AI has influenced philosophy. Many philosophers today base their accounts of mind on AI concepts. They use these to address, for instance, the notorious mind–body problem, the conundrum of free will, and the many puzzles regarding consciousness. However, these philosophical ideas are hugely controversial. And there are deep disagreements about whether any AI system could possess real intelligence, creativity, or life. Last, but not least, AI has challenged the ways in which we think about humanity—and its future. Indeed, some people worry about whether we actually have a future, because they foresee AI surpassing human intelligence across the board. Although a few thinkers welcome this prospect, most dread it: what place will remain, they ask, for human dignity and esponsibility?

Related posts:

Introduction to Machine Learning with Python - Andreas C.Muller & Sarah Guido
Learn Keras for Deep Neural Networks - Jojo Moolayil
TensorFlow for Deep Learning - Bharath Ramsundar & Reza Bosagh Zadeh
Fundamentals of Deep Learning - Nikhil Bubuma
Practical computer vision applications using Deep Learning with CNNs - Ahmed Fawzy Gad
Deep Learning in Python - LazyProgrammer
Deep Learning for Natural Language Processing - Palash Goyal & Sumit Pandey & Karan Jain
Building Machine Learning Systems with Python - Willi Richert & Luis Pedro Coelho
Pro Deep Learning with TensorFlow - Santunu Pattanayak
Deep Learning with Keras - Antonio Gulli & Sujit Pal
Hands-On Machine Learning with Scikit-Learn and TensorFlow - Aurelien Geron
Artificial Intelligence with an introduction to Machine Learning second edition - Richar E. Neapolit...
Deep Learning with Python - Francois Cholletf
Deep Learning with PyTorch - Vishnu Subramanian
Deep Learning Illustrated - A visual, Interactive Guide to Arficial Intelligence First Edition - Jon...
Python Data Structures and Algorithms - Benjamin Baka
Python Deeper Insights into Machine Learning - Sebastian Raschka & David Julian & John Hearty
R Deep Learning Essentials - Dr. Joshua F.Wiley
Foundations of Machine Learning second edition - Mehryar Mohri & Afshin Rostamizadeh & Ameet Talwalk...
Python Deep Learning - Valentino Zocca & Gianmario Spacagna & Daniel Slater & Peter Roelants
Natural Language Processing with Python - Steven Bird & Ewan Klein & Edward Loper
Machine Learning - A Probabilistic Perspective - Kevin P.Murphy
Deep Learning from Scratch - Building with Python form First Principles - Seth Weidman
Building Chatbots with Python Using Natural Language Processing and Machine Learning - Sumit Raj
Neural Networks and Deep Learning - Charu C.Aggarwal
Python Machine Learning Third Edition - Sebastian Raschka & Vahid Mirjalili
The hundred-page Machine Learning Book - Andriy Burkov
Deep Learning with Python - A Hands-on Introduction - Nikhil Ketkar
Deep Learning dummies second edition - John Paul Mueller & Luca Massaronf
Natural Language Processing Recipes - Akshay Kulkni & Adarsha Shivananda
Java Deep Learning Essentials - Yusuke Sugomori
Machine Learning with Python for everyone - Mark E.Fenner