HS 3033 : PHILOSOPHY IN LITERATURE AND FILMS ARTIFICIAL INTELLIGENCE INTRODUCTION Can we create humans? What does it take to be a human? Are there some prime attributes which are the necessary and sufficient conditions for someone (or something) to be called as human? Is there a possibility to “imprint” these attributes to a machine to make it “human”? This article attempts to discuss these popular philosophical questions posed by the philosophers who have wracked their brains in exploring the domain of Artificial Intelligence (AI).
As we can see, one of the most clever human of the history talks about the human stupidity. If machines are perfect and humans were stupid, there would not be any possibility for an artificial intelligence to feel like a human. However there are tons of scientist and philosophers talking about machines with human characteristics: “I wonder who had the first computer dream, where, and when? I wonder if computers ever dream of humans.” ― David Mitchell. The feelings of a machine is something we have not discovered yet, so in not strange if we find some disagreements in it definition or interpretation.
D.T Max shows this by depicting the story of Neil Harbisson who was colorblind before having an implant installed to the back of his head. In addition to seeing color again, Harbisson can now sense infrared lights and see ultraviolet markings. “He has not just matched ordinary human skills; he has exceeded them.” (Max) By becoming a cyborg, Neil Harbisson has come one step closer to goal of futurists such as Ray Kurzweil, who believed that we could use robots to expand our potential. Harbisson is one example of how learning can assist our development, there are many others, such as the growth of human organs for transplant. As long as this information we have acquired is not abused, humans can continue using it to transform for the
Over the years, our knowledge of AI has grown tremendously atleast in the geometrical sense with increased data if not ideas. This is because while all researchers are curious to explore the field and take it further, there are two schools of thought prevailing that have slowed down the progress. On one side, people think that machines are capable of replicating human cognition and carry out advanced intelligence processes sometimes even better than humans. Thus, they believe machines should be involved in day to day human decision making. Meanwhile, the others believe that AI is an essentially corrupt intelligence concept and people who put their trust in thinking machines are materialistic idol worshippers.
Rise of Artificial Intelligence and Ethics: Literature Review The Ethics of Artificial Intelligence, authored by Nick Bostrom and Eliezer Yudkowsky, as a draft for the Cambridge Handbook of Artificial Intelligence, introduces five (5) topics of discussion in the realm of Artificial Intelligence (AI) and ethics, including, short term AI ethical issues, AI safety challenges, moral status of AI, how to conduct ethical assessment of AI, and super-intelligent Artificial Intelligence issues or, what happens when AI becomes much more intelligent than humans, but without ethical constraints? This topic of ethics and morality within AI is of particular interest for me as I will be working with machine learning, mathematical modeling, and computer simulations for my upcoming summer internship at the Naval Surface Warfare Center (NSWC) in Norco, California. After I complete my Master Degree in 2020 at Northeastern University, I will become a full time research engineer working at this navy laboratory. At the suggestion of my NSWC mentor, I have opted to concentrate my master’s degree in Computer Vision, Machine Learning, and Algorithm Development, technologies which are all strongly associated with AI. Nick Bostrom, one of the authors on this article, is Professor in the Faculty of Philosophy at Oxford University and the Director at the Future of Humanity Institute within the Oxford Martin School.
What is Machine Learning? 2 Machine learning is a group of artificial intelligence which enables computers with the capability to be trained. Machine learning is a technique of data analysis so as to automate analytical model building. Industries affected byAI and Machine Learning 3-6 According to industry experts, it is the artificial intelligence (AI) on which the next industrial uprising will depend upon. As per the experts all the human operated jobs will be replaced by intelligent computer systems.The various industries affected by AI are: Manufacturing Industry The first industrial revolution was the automation of manufacture by means of water and steam power.
The authors also go on to describe a type of moral assessment known as the principle of substrate non-discrimination, which basically states that even though AI is nonliving, it is capable of being morally relevant. The journal closes with the idea that artificial intelligence currently offers very little ethical issues, but as the field expands and technologies become more humanlike, it is important to apply moral capabilities to the AI, to be able to create fair machines that do not obtain too much power over humans. Limitations need to be put in place in order to assure that artificial intelligence are morally sound machines that do not cause harm to humans or do their tasks in unfair manners. (Bostrom and Yudkowsky). Writers for Nature share the idea that ethical limitations need to be taken more seriously in regards to crating artificial intelligence.
Human beings can know in advance how to treat artificial intelligence in the future. Artificial Intelligence, the abbreviation is AI. The concept of artificial intelligence is very wide, so there are many kinds of artificial intelligence. People divide it into three categories according to the strength of artificial intelligence. The first one is Artificial Narrow Intelligence (ANI).
On the one hand, the robot vision researchers implicitly assumed that the problem of visual representation ends with the 2D/3D reconstruction of moving scenes and of their motion parameters. Interaction with ARTIFICIAL Intelligence AND OTHER elds IT has already been mentioned that all the research on artificial intelligence and Robotics intersects with several subfields of artificial intelligence. Even though the robotics agent can be seen as the main target for the ultimate goal of Artificial Intelligence. This is for all the aspects of Artificial intelligence some are related to Robotics. Machine Learning or learning a machine approaches are being applied to many problems arising in the design of robots.
This paper discusses about the hierarchical process of developing an Expert System as well as applications, advantages and its limitations. In addition, this paper shows the current research trends that are being carried out in the field of Expert Systems. 1 Introduction: All Artificial Intelligence programs are essentially reasoning programs. An Expert System is considered as a branch in the category of AI. The Expert System is also known as “Knowledge-based system” or “Expert Computing system”.