AI has begun to diagnose diseases, perform lie detection tests, play complex games and even create art. This is great for the industry but we shouldn’t just wrap it off till here. There are a lot more tasks AI is capable of, but there are things that the executives must take into consideration while implementing AI in their organizations.
- AI is basically a tool for identifying patterns in data that would be either an impossible or incompetent task for a human. The goal is that the analysis of insights generated from these data patterns would allow computers to take on human-like reasoning capabilities. AI is not, however, a replacement for human intelligence. As new data is generated, an AI (artificial intelligence program built on an algorithm) can help better inform the decision-making process, but not lead it altogether.
- Machines have advantages over humans to do visual diagnosis for certain diseases. For instance, let’s see diabetic retinopathy, a doctor would require 20 years of study and training to identify it but machines are able to do it in a more optimized and precise way reducing the chances of false reports.
- Humans have strong domain-changing abilities, AI doesn’t. Humans possess unique cognitive qualities that machines simply cannot yet duplicate. Unlike AI, we are good at domain-switching rather than being built to do only one specific thing.
- The rapid growth of data over the past decade has changed the face of data science and brought new challenges in data management. As data storage falls in cost, companies are generating and saving more data than ever before. All the vast data we have now can only be analyzed with AI, which is of great help for humans.
- Humans still have a vital role to play in gathering and interpreting information. While today’s data scientists have years of specialized training to code complex algorithms, this may no longer be necessary for the future for the casual consumer. AI will be democratized in the future and made available for everyone. This could take the form of computer software that serves as an AI interface. Much like the development of Microsoft Excel put spreadsheets and calculations into the hands of people with limited accounting experience, an AI program could do the same with machine learning.
In conclusion, we should not look at it as AI versus the human but rather AI + human. Even the best technology still requires the general intelligence of the human leader to add industry and societal value.