Artificial intelligence (AI) has penetrated many organizational processes, resulting in a growing fear that smart machines will soon replace many humans in decision making. Let’s explore various research opportunities and present the framework that enables humans and AI to collaborate and examines how each can bring their own strength in organizational decision-making processes.
Artificial intelligence (AI) has penetrated many organizational processes, resulting in a growing fear that smart machines will soon replace many humans in decision making. Let’s explore various research opportunities and present the framework that enables humans and AI to collaborate and examines how each can bring their own strength in organizational decision-making processes.
Differences between Human decision making and AI Decision Making :
Humans can actually solve loosely defined problems properly, on other hand for AI, you need to come up with a properly defined problem. That is very specific in nature. Basically, you need mathematical formulation of the objective function and defined outcomes. In reality, problems are very loosely defined.
Second, humans are really good at learning from a very small amount of data and at risk management. That’s the reason we have survived on this planet for so many years.
Deep learning algorithms require large amounts of data for training complex algorithms. These datas in practice are very expensive and annotation of data is not a trivial task .
Next, size of the alternative set matters. If you have a large number of alternatives then humans take small sets of alternatives and ignore the rest and may be it is biased.
Finally, the decision making speed. So human decision making is comparatively slower as compared to AI decision making for the problems. So, these are the four different distinctions between human and AI decision making that in creating a framework how to blend the human and AI decision making.
Full delegation to AI
AI acts as secretory to humans. This works well when the size of the alternate set is very large , nature of decision is clearly presented by function, cost of delay is high and need to have fast decision – Recommendation systems. E.G. Netflix, Digital advertisements dynamically change based on users experience ,high frequency trading. Humans can cause only delay in decision making in all such scenarios where rapid decisions are required from large alternative sets.
“AI can act in many dimensions and perspective needs to be set while exploring the research.”Neil Borton
Three dimensional research directions are presented where AI can be used as a tool and their ML & deep learning algorithm analyzes the large datasets to answer big problems. Second AI as technological change – fairness, accountability, trust, decision making, human centered AI research may be explored. Thirds, AI Organization agent. Aggregation of yours and AI can help to solve the problem.
