A humanlike artificial intelligence has long been depicted as the antagonist in science-fiction books and films, with examples such as Hal 9000 in “2001: A Space Odyssey” and Skynet in the “Terminator” franchise. However, despite the negative portrayals in the media, artificial intelligence is gradually transforming our interactions with computers.
While this technological advancement has its benefits, there is growing concern that AI-powered systems will completely replace human workers. However, AI is still not at a level where it can fully replace humans. So, what are the areas where AI still falls short in replacing humans?
4 Areas Where AI Needs to Replace Humans
The trolley problem, a well-known ethics thought experiment, poses a difficult question: when faced with an out-of-control trolley, should one allow it to continue and harm a large group of people, or redirect it to a path where it will only harm a single individual? This dilemma highlights the challenge of determining acceptable losses. Teaching ethics to self-driving cars presents a similar problem. How can engineers program a self-driving car to understand ethical decisions when ethics itself is subjective? While AI systems are not completely objective due to human programming, they can often be more objective than a person in similar circumstances. However, AI currently lacks the ability to make ethical judgments. Overcoming this challenge could lead to the development of fully autonomous vehicles that can navigate the world safely.
Common sense, often joked about as a superpower due to its rarity in today’s society, is something humans possess that allows them to make sound judgments in practical matters. It prevents us from touching a hot stove or stepping out into traffic when we see a car approaching. Most people acquire this knowledge during childhood and further develop it throughout their lives. Teaching common sense to artificial intelligence is crucial. The AGENT test (Action, Goal, Efficiency, coNstraint, uTility) is designed to assess how well an AI can mimic the experiences that contribute to the development of common sense. This test presents the AI with a series of sequences depicting an agent’s behavior. The AI then needs to determine whether the agent’s actions are predicted or unexpected. Currently, artificial intelligence lacks the common sense required to pass the AGENT test, but researchers are working towards programming this humanlike quality.
Empathy, defined as the ability to understand and share the feelings of others, is a fundamental aspect of human functioning. It is also one of the traits that distinguish humans from artificial intelligence. Imagine scheduling surgery with a robotic doctor that lacks the capacity for empathy that a human possesses. The outcome would be significantly different because the robot cannot empathize with the patient’s needs in the same way a human can, at least not yet. However, programmers are teaching AI systems how to recognize emotions and perceptions. This type of programming, combined with natural language processing systems that can better understand human speech, creates a framework for AI to respond to input or stimuli with artificial emotions.
The dialogue between Detective Del Spooner and the robot Sonny in the movie “I, Robot” reflects how humans perceive robotics and artificial intelligence. While AI systems can replicate well-known artworks or play a symphony flawlessly when paired with an AI database, they lack the ability to create something truly original. IBM has referred to creativity as the “ultimate moonshot for artificial intelligence,” and it has been applied in various creative industries. However, these AI systems are always guided by human input or decisions based on observations of creative individuals. Although programmers may be working on building a talented AI, this particular skill remains firmly in the domain of humans for now.
Making Them Humanlike
Although engineers and programmers have made significant progress in developing artificial intelligence, they have only scratched the surface of what AI can accomplish. Despite these advancements, AI still has a long way to go before it can truly replace humans in all aspects of life.
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