Artificial intelligence (AI) is the ability of machines to mimic human intelligence through tasks like thinking, reasoning, and learning. The document discusses the history and current applications of AI as well as its future potential. Current applications of AI include finance/banking, healthcare, transportation, and consumer devices. Advancements in natural language processing, computer vision, machine learning, and robotics may allow AI to achieve human-level abilities and be applied to problems like risk management and disaster response. However, as AI becomes more advanced, it also raises social and ethical implications around robot rights, personhood, and what constitutes a moral agent.
2. What is Artificial Intelligence
History of Artificial Intelligence
Current applications of Artificial Intelligence
Future of Artificial Intelligence
Implications of Artificial Intelligence
3. What is Artificial Intelligence?
Thinking Humanly
Acting Humanly
Thinking Rationally
Acting Rationally
4. Acting Humanly
“A computer would deserve
to be called intelligent if it
could deceive a human into
believing that it was human.”
-Alan Turing
8. Finance and Banking
Intelligent systems are used in finance for stock predictions and
recommendations, automated trading, and high frequency trading.
In banks they use AI for cheque fraud analytics and detecting fraudulent cheques
10. Healthcare
Recommender systems are used in healthcare to provide physicians with evidence
based patient care recommendations, called Clinical Support Decision Systems.
Classification and Clustering can be used to examine, represent and catalogue
medical data to improve healthcare systems.
12. Transportation
Google’s AI vehicles that are capable of
driving safely on their own.
Fuzzy logic has been used in subway
and train systems in Japan.
15. The Future of Artificial Intelligence
Looking at the future of Artificial Intelligence in two ways:
Advancements in the technologies used in Artificial intelligence.
New applications and uses of Artificial Intelligence.
16. Natural Language Processing and Voice
Recognition
NLP and Image Recognition have made impressive
improvements in the last decade they are not at a human
level.
Understanding semantics of natural language will bring
artificial intelligence closer to passing a turing test.
Human-level Image Recognition can be used in many
applications.
17. Image Recognition and Computer Vision
Image recognition and Computer vision to
advance to human-level and beyond.
Combined with Natural Language Processing for
Translation.
Combined with robotics for autonomous agents.
18. Machine Learning
Advancements in Machine Learning and wider applications of
Intelligent systems create endless possibilities of predictions
and classifications.
Risk management in Financial Markets
Prediction and response to Natural Disasters
Finding solutions to our world’s problems
19. Social and Ethical Implications
Rights and Liabilities of Intelligent Agents
Personhood
3 Laws for Robots
Moral Agents
21. Asimov’s Laws
1. A robot may not injure a human being or, through inaction, allow a human
being to come to harm.
2. A robot must obey the orders given it by human beings except where such
orders would conflict with the First Law.
3. A robot must protect its own existence as long as such protection does not
conflict with the First or Second Laws.
22. Moral Agents and Robotics
How intelligent must these beings be to be considered a moral agent?
23. References
Alan Turing. (n.d.). Retrieved March 17, 2016, from The Stuttering Foundation: http://www.stutteringhelp.org/content/alan-
turing
Artificial Intelligence. (n.d.). Retrieved March 17, 2016, from BIPB: http://bipb.com/technologies/artificial-intelligence/
Bates, A. (2015, Sept. 30). Artificial Intelligence: Changing the Rules of Marketing. Retrieved March 17, 2016, from
eyeforpharma: http://social.eyeforpharma.com/column/artificial-intelligence-changing-rules-marketing
Prado, G. M. (2015, Oct. 26). 18 Artificial Intelligence researches reveal the profound changes coming to our lives. Retrieved
March 17, 2016, from Tech Insider: http://www.techinsider.io/researchers-predictions-future-artificial-intelligence-2015-10
Russel, S., & Norvig, P. (1995). Artificial Intelligence: A Modern Approach. New Jersey: Prentice-Hall, Inc.
Viklund, A. (2006). Agents Artificial Intelligence. Retrieved March 17, 2016, from Imperial College London:
https://www.doc.ic.ac.uk/project/examples/2005/163/g0516334/
Hinweis der Redaktion
Turings test, and the early days of Computing. The Idea of machine learning, and the coining of the Term Ariticial Intelligence at the Dartmouth College in 1956.
Turings test, and the early days of Computing. The Idea of machine learning, and the coining of the Term Ariticial Intelligence at the Dartmouth College in 1956.
Intelligent Machines use the internet, market history, and all sorts of algorithms to predict market share change. Called High Frequency Trading HFT