Development and Applications of Self-learning Smart Conversational Bots
Tushar Bhatnagar · International Journal for Research in Applied Science and Engineering Technology · 2018
The original goal of the ai field was the construction of "thinking machines" -that is, computer systems with humanlike general intelligence. Due to the difficulty of this task, for the last few decades most ai researchers have focused on what has been called "narrow ai" -the production of ai systems displaying intelligence regarding specific, highly constrained tasks. In recent years, however, more and more researchers have recognized the necessity and feasibility of returning to the original goals of the field. Increasingly, there is a call for a transition back to confronting the more difficult issues of "human level intelligence" and more broadly artificial general intelligence (agi). Artificial general intelligence (agi) is ai that can reason across a wide range of domains. It has long been considered the "grand dream" or "holy grail" of ai. It also poses major issues of ethics, risk, and policy due to its potential to transform society: if agi is built, it could either help solve the world's problems or cause major catastrophe, possibly even human extinction. The high potential stakes of agi raise questions of ethics, risk, and policy. Which agi, if any, should be built? What is the risk of catastrophe if an agi is built? What policy options are available to avoid agi catastrophe and, to the extent that it is desired, enable safe and beneficial agi? These are all questions under active investigation. However, the literature to date has tended to be theoretical and speculative, with little basis in the actual in agi. Given that agi may be first built many years from now, some speculation is inevitable. But agi r&d is happening right now. Information about the current r&d can guide current activities on ethics, risk, and policy, and it can provide some insight into what future r&d might look like. The purpose of this paper is to propose one of the means as to how we could achieve agi.