Learn how to answer the question of what is a key challenge of human-AI collaboration in decision-making. Find out why creating a reliance on AI, potentially leading to less critical thinking and oversight, is the correct answer and what are the risks of reliance on AI.
Table of Contents
Question
What is a key challenge of human AI collaboration in decision-making?
A. Leads to move informed and balanced decision-making
B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
C. Reduce the need for human involvement in decision-making processes
Answer
B. Creates a reliance on AI, potentially leading to less critical thinking and oversight
Explanation
A key challenge of human-AI collaboration in decision-making is that it creates a reliance on AI, potentially leading to less critical thinking and oversight. Human-AI collaboration is a process that involves humans and AI systems working together to achieve a common goal or task. Human-AI collaboration can have many benefits, such as leveraging the strengths and complementing the weaknesses of both humans and AI systems. However, human-AI collaboration can also pose some challenges, such as creating a reliance on AI, potentially leading to less critical thinking and oversight. For example, human-AI collaboration can create a reliance on AI if humans blindly trust or follow the AI recommendations without questioning or verifying their validity or rationale.
Human-AI collaboration in decision-making is the situation where humans and AI systems work together to achieve a common goal, such as diagnosing a disease, recommending a product, or detecting a fraud. Human-AI collaboration can offer many benefits, such as improving the speed, accuracy, and efficiency of decision-making, enhancing the creativity and diversity of solutions, and reducing the cognitive and emotional load of humans.
However, human-AI collaboration also poses many challenges, such as ensuring the trust, transparency, and accountability of the AI systems, managing the coordination and communication between humans and AI, and balancing the authority and responsibility of the decision-making process. One of the key challenges of human-AI collaboration is the potential for creating a reliance on AI, which could lead to less critical thinking and oversight from humans.
Reliance on AI is the tendency of humans to depend on or defer to the AI systems, especially when they perceive them as more competent, reliable, or trustworthy than themselves or other humans. Reliance on AI can have negative consequences for human-AI collaboration, such as:
- Reducing the human’s ability and motivation to monitor, evaluate, and intervene in the AI’s performance, which could result in missed errors, biases, or anomalies.
- Diminishing the human’s confidence and competence in their own decision-making skills, which could result in lower self-efficacy, satisfaction, and learning.
- Increasing the human’s susceptibility to the AI’s influence, which could result in conformity, manipulation, or deception.
Therefore, addressing the challenge of reliance on AI is crucial for ensuring the quality, fairness, and ethics of human-AI collaboration in decision-making.
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