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Group - 6 (Ossian Moore - AI: Virtual Agents (Benefits ((24/7, not…
Group - 6
Ossian Moore - AI: Virtual Agents
Disadvantages
Narrowness - Chat bots crested for specific tasks, consumer may request something out of the bots prog
rammed ability.
Some things can't be taught - AI bot will only learn
according to how it is programmed to learn
Human response - naturally some people may respond and react far better to a human, some may feel distant or not connected to the help they are recieving.
eGain
IBM Virtual
Agent
3 agents for the future
Benefits
Fast efficient response - no getting put on hold or waiting
eliminates language barrier (mostly)
24/7, not constricted by business hours
Ability to bring in a human agent when needed
International conference of Intelligent virtual agents
Wiki
Intro:
The first chatbot, Eliza, was built in 1966 at the MIT Artificial Intelligence Laboratory by Joseph Weizenbaum to mimic human conversations.
As a market that was valued at $113 million in 2015, with predicted growth to reach $994.5 million by 2024
http://redbaron.in/2017--LatestUploads/infographic/infograhpic-01.pdf
Evolution of chatbots --->
Chatbot is a computer program designed to simulate conversations with human users, especially over the Internet.
Ciaran Murphy - AI: Autonomous Cars
What is it?
Uses sensors and GPS to navigate its environment and avoid obstacles
Autonomous vehicle - no human driver required
Advantages
Much faster reaction times than a human - supposedly making it much safer
People who are drunk or otherwise impaired can use a self-driving vehicle
Welfare - could reduce labour costs
Reduced cost of vehicle insurance
Disadvantages
Computer Error
Sensors might misinterpret their environment, resulting in crash
Programmed to kill - a self-driving vehicle may be programmed to minimise casualties during a crash, even if it causes the death of the driver e.g. swerving to avoid 10 pedestrians, and killing the driver
Avoidance of large animals requires recognition and tracking e.g. Volvo found that software suited to caribou, deer, and elk was ineffective with kangaroos
Susceptibility of the car's sensing and navigation systems to different types of weather or deliberate interference, including jamming and spoofing
May require very high-quality specialised maps
Software bugs
Autonomous cars could be hacked
Cost
Maintenance
Repair
Insurance
Infrastructure
Competition for the radio spectrum desired for the car's communication
Current road infrastructure may need to be redesigned to accommodate autonomous cars
Availability = 5 to 10 years
Obstacles to widespread adoption
Technological challenges
Disputes concerning liability
The time period needed to replace the existing stock of vehicles
Resistance by individuals to forfeit control
Consumer safety concerns
Establishment of regulations/legal framework
Risk of loss of privacy
Security concerns (hackers, terrorism)
Concerns regarding loss of jobs in the road transport industry
Increased suburbanisation as travel becomes less costly/time-consuming
Jack Matthews - AI: Machine Learning
Real World Applications
Finance: Decide if applicant is worthy, detect credit fraud,
Advertising: decide ads for user
Space, Astronomy, and Robotics: mars rover decides relevant information
Smart Cars
Security
Games
Robotic Movement
V.A. language
Learn more information than a human could
Companies
Google: photographic memory
IBM: embeds software where need
Descartes Lab: preventing food shortages by predicting crop yields
Iris AI: speeds up scientific research by only looking at relevant information
Disadvantages
makes jobs obsolete
singularity
when A.I becomes smarter than humans
We dont know what will happen
predicted for 2045
Fear of skynet
Ethics of how to treat a machine that can simulate emotions
We might end up being controlled by computers
What is it
systems the ability to automatically learn and improve from experience
focuses on the development of computer programs that can access data and use it learn for themselves.