The difference in the meaning of AI and AGI come from the old definition and expectations of what AI was compared to the one we know today. There was a proposal made to research AI at Dartmouth College in 1955 which stated: The study is to proceed on the conjecture that every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it. (McCarthy, Minsky, Rochester &
Shannon, 1955, p. 13)
This idea of AI is the one we know today to be AGI. Unbeknownst to the researches at the time, the difficulty to implement the study was immense. This may have been due the attitude of others who felt developing AI didn’t coincide with knowledge of the human brain (Crevier, …show more content…
1163). This is due to the fact that AGI is an emerging field today and only recently (within the last few years) started to gain traction (Goertzel, 2007, p. 1162). The cost (time, money and research) of trying to implement a successful AGI system may not be worth the time if a constructionist approach can be used to fulfill the requirements. However, the benefits of having a constructivist system could potentially outweigh the cons. For the system itself, it would require little to no human intervention which could save tons of time in the future. In terms of research, it would help grow and develop not only the fields of AI/AGI within computer science, but our whole technological empire. Having narrow AI systems (constructionism) are always a suitable option to get specific things done. The cost is practically nothing compared to an AGI system but the lack of robustness and growth makes it rely on the creators of such system to perform these operations. Another potential downside to creating these systems relates to the amount of effort currently being put in by global leaders to develop AGI. The AI systems in the future could be deemed useless and therefore might not be worth
Shannon, 1955, p. 13)
This idea of AI is the one we know today to be AGI. Unbeknownst to the researches at the time, the difficulty to implement the study was immense. This may have been due the attitude of others who felt developing AI didn’t coincide with knowledge of the human brain (Crevier, …show more content…
1163). This is due to the fact that AGI is an emerging field today and only recently (within the last few years) started to gain traction (Goertzel, 2007, p. 1162). The cost (time, money and research) of trying to implement a successful AGI system may not be worth the time if a constructionist approach can be used to fulfill the requirements. However, the benefits of having a constructivist system could potentially outweigh the cons. For the system itself, it would require little to no human intervention which could save tons of time in the future. In terms of research, it would help grow and develop not only the fields of AI/AGI within computer science, but our whole technological empire. Having narrow AI systems (constructionism) are always a suitable option to get specific things done. The cost is practically nothing compared to an AGI system but the lack of robustness and growth makes it rely on the creators of such system to perform these operations. Another potential downside to creating these systems relates to the amount of effort currently being put in by global leaders to develop AGI. The AI systems in the future could be deemed useless and therefore might not be worth