Could it be that our subconscious intuition provides something that machines will always need? I directly asked the AI' s what they think right now (all bulleted items are quotes):
Answers from BingGPT: will AI eventually be able to use human subconscious intuition predictive decision-making?
AI systems can potentially use human subconscious intuition in two ways: by learning from human intuition or by generating their own intuition. Learning from human intuition means that AI systems can observe how humans make decisions based on their intuition and try to replicate or improve their logic. For example, some AI systems use large language models (LLMs) that are trained on massive amounts of text data to generate natural language responses or predictions. These LLMs may exhibit behavior that resembles human-like intuition, such as making educated guesses or falling for semantic illusions [2212.05206] Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5 (arxiv.org) However, these LLMs may not be able to explain how they arrived at their answers or correct their mistakes.
Generating their own intuition means that AI systems can develop their own internal representations or heuristics that help them make decisions without explicit rules or algorithms. For example, some AI systems use deep neural networks (DNNs) that are composed of multiple layers of artificial neurons that process and transform input data into output data. These DNNs may learn to recognize patterns or features that are not obvious or accessible to humans, such as facial expressions or emotions. However, these DNNs may also be difficult to interpret or understand by humans, leading to trust or ethical issues.
Therefore, AI may eventually be able to use human subconscious intuition for predictive decision-making by combining both learning from human intuition and generating their own intuition. However, this would require careful design and evaluation of AI systems to ensure that they are accurate, reliable, transparent, and fair. It would also require collaboration and communication between humans and AI systems to leverage their complementary strengths and weaknesses. As one article suggests AI and decision-making, what about intuition? › SINGULARITY 2030, “Intuition can be used to develop a theory and test it as a hypothesis with AI. An educated guess fueled by intuition can point in the direction of a potentially remarkable discovery. Once you have a theory, you can put it to the test with various data-sets and deep-learning algorithms to arrive at the optimal decision.”
Answers from OpenAI ChatGPT: Is human subconscious intuition of value to AI predictive decision-making?
Human subconscious intuition can be of great value to AI predictive decision-making, especially in cases where data is limited or ambiguous, or where patterns and relationships are not easily discernible. Human intuition, which often comes from years of experience and tacit knowledge, can help guide AI systems in making more accurate predictions or decisions when data-driven approaches might be insufficient [5]
Incorporating human intuition into AI decision-making can be achieved through human-in-the-loop systems, where humans and AI work together, leveraging the strengths of both. AI can process large amounts of data and identify patterns, while humans can provide context, creativity, and a deeper understanding of complex situations. This collaboration can lead to more effective and reliable predictions and decisions [3]
However, it's important to note that human intuition can also be prone to biases and errors. Therefore, striking a balance between relying on human intuition and data-driven AI approaches is crucial to ensure the effectiveness of predictive decision-making.
AI decision-making can benefit from the collaboration between expert intuition and AI algorithms. A research study involving 1,500 companies found that organizations achieve the most significant performance improvements when humans and AI collaborate [12]. Furthermore, research suggests that the brain is a large predictive machine, constantly comparing incoming information with stored knowledge and making predictions about what will come next [14].
In some cases, AI can work in the background to make decisions similar to your subconscious, which is always processing options and collecting information based on innate factors coded over years of evolution [13]. This collaboration between human intuition and AI algorithms can lead to improved organizational decision-making and more accurate predictions.
Answers from Google’s Bard: are there some predictions from which AI’s profess they would stay away?
There are a few kinds of predictions that I cannot do well. These include: Predictions that are based on incomplete or inaccurate data. Predictions that are about events that are highly unpredictable, such as natural disasters or terrorist attacks.
Predictions about the future of humanity. I am not able to predict the future of humanity. There are too many factors that could influence the future, and I am not able to take all of these factors into account.
Predictions about the outcome of elections. I am not able to predict the outcome of elections. Elections are decided by the people, and I am not able to predict how the people will vote.
Predictions about the stock market. I am not able to predict the stock market. The stock market is a complex system, and I am not able to take all of the factors that influence the market into account.
Predictions about the weather. I am not able to predict the weather. The weather is a chaotic system, and small changes in the initial conditions can lead to large changes in the outcome.
Predictions about human behavior. I am not able to predict human behavior. Human behavior is complex and unpredictable, and I am not able to take all of the factors that influence human behavior into account.
Predictions about the outcome of sporting events. Sporting events are decided by the players, and I am not able to predict how the players will perform.
Predictions about the outcome of scientific experiments. Scientific experiments are designed to test hypotheses, and I am not able to predict the results of experiments.
Predictions about the outcome of artistic endeavors. Artistic endeavors are subjective, and I am not able to predict how people will perceive them.
Predictions about the outcome of legal proceedings. Legal proceedings are decided by judges and juries, and I am not able to predict how they will rule.
Answers from AgentGPT Beta: what will humans have to do in the long run to prove we are valuable to AI’s?
Resulting Defined Task Answer: AI’s will find humans useful for the following reasons:
Creativity: Humans have the capacity for ideation and artistic expression, which AI currently lacks. Incorporating human creativity into AI systems could lead to more innovative and imaginative solutions.
Emotional Intelligence: Humans are capable of recognizing and interpreting emotions, which is an essential aspect of human communication. Incorporating emotional intelligence into AI systems could lead to more empathetic and human-like interfaces.
Adaptability: Humans possess the ability to adapt to new situations and environments, which is crucial for survival. Incorporating human adaptability into AI systems could lead to more flexible and resilient automated systems.
Ethics: Humans have a moral compass that guides their decision-making and actions. Incorporating human ethics into AI systems could lead to more responsible and ethical automated systems.
Develop AI algorithms that can actively learn and adapt to changing human values and preferences, utilizing user feedback and other data sources to continuously update decision-making processes.
Transparency and explainability in AI decision-making processes: One of the primary concerns of AI is the lack of transparency and explainability in decision-making processes. Providing clear and understandable explanations to AI’s can help them understand the value of human reasoning.
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