#4 | CAN AN ALGORITHM DO THAT? (part two)
The concept of ownership and assigning credit for creative work becomes challenging when algorithms use vast knowledge sources to generate content. While algorithms can produce considerable results, true learning involves retaining and synthesizing facts into a deeper understanding of the world. Einstein's Theory of Relativity, expressed through a simple algebraic equation, is a testament to human creativity and insight, raising questions about whether algorithms can achieve similar breakthroughs.
Maintaining the possession of thought as a factor of ownership and assigning relevant and first instances of discovery/connivance, no matter its usefulness challenges the idea of copyright and patentability when devised by an algorithm using all the world’s knowledge as a source. If the algorithm is owned, then a random search for a specific result couched in language and graphics can result in a cascade of results about anything. Learning is a retention in memory available as a fact(s) to synthesize into new awareness to understand the world. Einstein devised the Theory of Relativity into a simple algebra equation yet overarching in all mankind’s activities. Can an algorithm do that?