Summary: 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).
Summary: 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.
Summary: 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?
Summary: 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?
Summary: 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.