The Implications of AI for the Future of Innovation

 

When it comes to AI and the future, there are a lot of serious issues to worry about. In this piece, I'd want to talk about how human creativity and AI sometimes seem to be at odds with one another. Although the issue is not yet widely discussed, it is looming on the horizon because we in the information era are oblivious to our immediate surroundings.

Many people believe that Artificial Intelligence consultancy will never be able to replace humans in creative professions like painting, storytelling, filmmaking, writing, or innovation. Though I'd like to reassure you that these ideas are correct, I just can't do so in good conscience or reason. In certain fields, we can already witness the embryonic stages of AI, and the writing is on the wall (or, more accurately, on the graffiti). Already, we have AI artwork that is indistinguishable from human-created works; this means that AI has passed the Turing Test in the field of art.

We also have quite good artificially intelligent novel writers, as well as songwriting and composition software. We've seen the first artificial intelligence films, too; they're not quite up to human standards yet, but they're getting there. And think about the fact that, in the movie industry at large, very few new genres are introduced these days; instead, most films follow tried-and-true plotlines with only minor variations in style. Good (high-grossing) Hollywood films adhere to certain standards, much like good writing and good art. Computers, programs, and AI can all be taught new rules. Artificial intelligence can also mix and match untried combinations in real-time at minimal cost per new unit created.

As I've mentioned before, most innovations also adhere to laws and make use of simple recombination tactics. It can't be that difficult, either, if people do learn to be more creative and innovative from everyone who claims to be teaching it now. And if it is simple, then it's safe to assume that AI will soon be able to do it. In reality, you don't need to be a mastermind to figure it out.

How Artificial Intelligence Can Imitate Human Ingenuity

Just connect IBM's Watson to a supercomputer and feed it every piece of data ever gathered from around the globe. Then, simply tell it to rearrange every word and sentence in every language and then ask Watson to interpret the results. For each permutation, it will return an answer and a probability that the response is correct. High-confidence recombination outputs say 75-99 percent, might be reviewed by subject-matter experts via crowdsourcing to determine if the resulting answers make sense. Watson, artificial intelligence capable of innovation, may generate 10 million usable ideas in a day using this method.

The first endeavor would be the easiest, but it would yield more novel ideas than the lifetimes of Leonardo da Vinci, Benjamin Franklin, and Richard Feynman put together. Let's say that number is 10,000 new original thoughts per man, or 30,000 in total, which is an incredible number by any measure, but the AI using a supercomputer and all the world's recorded knowledge and information could come up with a billion new original thoughts by next weekend, and it could keep doing that until it ran out of things to combine.

Can we conclude that AI machine learning developers will eventually dominate the creative process? Is this a prelude to the complete extinction of human intelligence? Could this be the end for firms that provide innovative consulting? Both. Yes, because it's inevitable in the long run, and no, because it won't happen overnight and the AI will create a lot of work along the way and humans will have to verify all those new concepts, which alone could employ millions of intellectuals and would cover almost every sector, industry, and intellectual domain. A project of this scale has the potential to last for at least three decades, meaning that millions of people will be employed throughout that time.

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