Psychometric AI approach to measure computational intelligence
Psychologists nowadays are able to measure human intelligence by using various IQ tests. Nevertheless, they still don’t agree on one common definition of human intelligence. What would happen if we apply a similar approach to measuring intelligence of artificial entities, skipping never-ending discussions on AI definition? According to professor Selmer Bringsjord and Bettina Schimanski an answer is contained in Psychometric AI (PAI).
Make human-machine conversation interesting to increase the attention span
Earlier this year Gartner predicted that by 2015 “50 percent of online customer self-service search activities will be via a virtual assistant for at least 1,500 large enterprises”. Interestingly, one of the main challenges the release cited was not a customer’s willingness to interact with an automated mechanism, but the ability for it to maintain an interesting dialogue.
This article will give you a behind-the-scenes look at how chatbots are enhanced with new capabilities.
With this article I would like to give you a behind-the-scenes look at how a system like Elbot is enhanced with new capabilities. I’ll do this by walking through one of Elbot’s newer features: color learning. If you would like to try the feature before reading all the spoilers, please visit Elbot.com, and ask Elbot if he can learn.
Virtual Prison for Hazardous Intelligent AI entities
Dr. Roman V. Yampolskiy from University of Louisville says that we should be aware of dangerously self-aware chatbots and he suggests to keep dangerous AI entities in virtual prison for avoiding social-engineering attacks. According to him, we should improve cybersecurity, because one day disobeying virtual agents could threaten humanity’s existence.
Chatbots can become autonomous virtual creatures by integrating advanced neural network methods
The robot presented on the video can chat with other humanoid robots via the Internet. Moreover, when faced with a new situation, the robot can search the World Wide Web and gather appropriate information in order to fill an identified knowledge gap. Afterwards, it incorporates new knowledge under its own power, and is ready to execute diverse new tasks.
Present chatbots have rather limited reasoning, inflexible behavior and they lack learning abilities. They perform entrusted tasks in strict accordance with programmed procedures. What if chatbot developers equipped new chatbots with an advanced online-learning mechanism applied recently in intelligent humanoid robots?
To whom does the service agent turn to when he or she needs help in resolving a question?
Online Virtual AssistantsVirtual Assistants increasingly becoming the first point of contact for users who need help from customer service. However, sometimes it is inevitable that a real customer service agent steps in and deals with the customer query. And here comes the twist; to whom does the service agent turn to when he or she needs help in resolving a question? To a virtual assistant of course!
Chat bots visual recognition skills are tested by visual Turing test
Look carefully at the scene presented on the picture below:
If somebody asked you a question: “Where is the coffee cup?”, you could give a simple answer: “on the mat’. But you could also say “to the left of the lamp” as well as “on the table”. All those answers are correct, although they require several subjective and nuanced judgements which we - humans - do intuitively. What about chatbots?
Basing on "regret" algorythm, computers are able to optimize experienced emotions.
Researchers from Blavatnik School of Computer Science at Tel Aviv University led by Professor Yishay Mansour are developing artificial intelligence algorithm in order to equip machines with human emotions. According to this algorithm based on machine learning, the computer programs are taught a sense of “regret” and how to “feel sorry” for their mistakes.