"Cognitive science is the interdisciplinary study of mind and intelligence, embracing philosophy, psychology, artificial intelligence, neuroscience, linguistics, and anthropology. Its intellectual origins are in the mid-1950s when researchers in several fields began to develop theories of mind based on complex representations and computational procedures."
– Paul Thagard. Cognitive Science , in The Stanford Encyclopedia of Philosophy.
AI has been reigning in the industries and business ecosystems with its unending capabilities to accelerate automation and provide business intelligence. Disruptive technologies like artificial intelligence, machine learning, blockchain, etc. have enabled companies to create better user experiences and advance business growth. Emotional AI is a rather recent development in the field of modern technology, and it claims that AI systems can read facial expressions and analyze human emotions. This method is also known as affect recognition technology. Recently Article 19, a British human rights organization published a report stating the increasing use of AI-based emotion recognition technology in China by the law enforcement authorities, corporate bodies, and the state itself.
How many of you had a decent conversation with a chatbot? Today we are going to look at the paper "Why AI is harder than you think" published by Melanie Mitchell of Santa Fe Institute. Let's define two words used in the paper: This paper argues that the cycles of AI spring and AI winter come about by people making too overconfident predictions and then everything breaks down. Mitchell has provided examples of times where people make overconfident predictions and outlined four fallacies that researchers make. I found this paper interesting and sharing it here with you.
At many banks, insurance companies and online retailers, self-learning computer algorithms are used to make decisions that have major consequences for customers. However, just how algorithms in artificial intelligence (AI) represent and process their input data internally is largely unknown. They have published their results in the journal Neural Networks. 'What we call artificial intelligence today is based on deep artificial neural networks that roughly mimic human brain functions,' explains Dr. Patrick Krauss from the Cognitive Computational Neuroscience Group at FAU. As is the case in children learning their native language without being aware of the rules of grammar, AI algorithms can learn to make the right choice by independently comparing a large amount of input data.
We have spent our childhood watching Star Wars where we had witnessed the introduction of the emergence of Artificial Intelligence. Certain robot-centric movies and hi-tech sci-fi movies have created curiosity in our minds to know more about Artificial Intelligence and its impact on human society. Are you confused about which book to read for gaining some perspectives on the Philosophy of the Artificial Intelligence world, which is dominating different fields in human society? Here is our recommendation list of five books that provide an overall perspective on the topic. In this book, you will learn details on some important philosophical issues in the theoretical framework of Artificial Intelligence.
Artificial Intelligence has been disrupting many industries, business processes, and our lifestyle. With artificial intelligence technology, it is now possible to augment human intelligence and use it in decision-making and customer interactions. The ongoing digital transformation has brought many cutting-edge technologies to the mainstream and stressed the significance of AI and Big Data in revolutionizing industries. The role of artificial intelligence in business has been proved to be positively redefining operations and encouraging cost-efficiency. But there are still areas connected to AI that researchers are studying to enhance the simulation of human intelligence to an extent, which enables sentiment analysis.
Despite their incorporeal form, memories have a way of becoming a very real part of our identity, like the pattern of freckles on your face or your favorite jacket might. Remembering a childhood friend while gazing off at a field of dandelions may be pleasant, but being sucked back into a bad memory -- a difficult breakup or a traumatizing loss -- can be unbearable. But what if, a la Eternal Sunshine of the Spotless Mind, we could simply erase those memories? It's something being explored, but Philipp Kellmeyer, a neurologist and head of the Neuroethics & A.I. Ethics Lab at the University of Freiburg, has several concerns. High among them is identity.
Rachel Aviv describes the way Elizabeth Loftus's psychology research has established the fallibility of personal memory, and shows how her testimony in court has helped to exculpate innocent defendants ("Past Imperfect," April 5th). The fact that there is limited experimental evidence for the emergence of memories of trauma long after it occurs does not prove that such memories are a fiction, of course. The malleability of memory, which Loftus's research has demonstrated, suggests that it is just as likely that memories can be forgotten and later remembered as it is that they can be implanted or distorted. In Aviv's account, Loftus's repudiation of unconscious repressed memories comes across as motivated as much by personal bias as by anything else. When Aviv astutely notes that it's "hard to avoid the thought" that Loftus's career was "shaped by the slipperiness of [the] foundational memory" of her mother's tragic death, Loftus vehemently denies it.
If you don't have enough to worry about already, consider a world where AIs are hackers. Hacking is as old as humanity. We are creative problem solvers. We exploit loopholes, manipulate systems, and strive for more influence, power, and wealth. To date, hacking has exclusively been a human activity.