The future of Artificial Intelligence - 0 views
started by ai_ar_services on 08 Feb 22
started by ai_ar_services on 08 Feb 22
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started by ai_ar_services on 08 Feb 22
The future of Artificial Intelligence
Speaking at London’s Westminster Abbey in late November of 2018, internationally renowned AI expert Stuart Russell joked (or not) about his “formal agreement with journalists that I won’t talk to them unless they agree not to put a Terminator robot in the article.” His quip revealed an obvious contempt for Hollywood representations of far-future AI, which tend toward the overwrought and apocalyptic. Clearly, most educated professionals now know that this representation of the future of AI is not true and in reality, the predictions for tomorrow may not be as devastating!
The Future of Artificial Intelligence
One example for the future is the ability to really understand the content of language so we can translate between languages using machines. When humans do machine translation, they understand the content and then express it. And right now, machines are not very good at understanding the content of language. If that goal is reached, we would have systems that could then read and understand everything the human race has ever written, and this is something that a human being can't do. One concern that is commonplace amongst many circles is the notion that AI will replace the jobs of many people and is hell-bent on taking over the workplace. To put these notions to bed, it is currently scientifically impossible for AI to be coming for people’s jobs. published by the MIT Task Force on the Work of the Future entitled “Artificial Intelligence and The Future of Work,” looked closely at developments in AI and their relation to the world of work. The paper paints a more optimistic picture. Rather than promoting the obsolescence of human labor, the paper predicts that AI will continue to drive massive innovation that will fuel many existing industries and could have the potential to create many new sectors for growth, ultimately leading to the creation of more jobs. Another limitation AI has currently is the inability to process unrelated or differentiated subjects also known as general intelligence. Currently, it is known that AI possesses specialized intelligence that is the ability to do and process a narrow range of subjects that are closely related. This is no small feat, as when it comes to processing data for a defined field no human can come close to the AI’s abilities. But luckily it is speculated amongst scientific communities that general intelligence may be achievable in our lifetimes, where AI can actually start behaving and acting more and more like humans with the ability to process multiple subjects and tasks. Another important limitation of note is that data can itself carry bias and be reflective of societal inequities or the implicit biases of the designers who create and input the data. If there is bias in the data that is inputted into an AI, this bias is likely to carry over to the results generated by the AI. And again, this problem is rumored to be solvable through the advent of general intelligence where the machine will itself learn to recognize the validity of data and apparent mistakes in its patterns.
In conclusion, provided there is an investment at all levels, from education to the private sector and governmental organizations—anywhere that focuses on training and upskilling workers—AI has the potential to ultimately create more jobs, not less. The question should then become not “humans or computers”, but “humans and computers” involved in complex systems that advance industry and prosperity. In any case, AI is a fascinating topic and we as a firm are excited to see the many directions it may go in!