Robotics & Artificial Intelligence
Ethics in AI refers to the moral implications and principles that guide the use of AI technologies. Issues such as bias, fairness, accountability, and transparency are essential to address when developing AI systems. Ethical considerations ensure AI is used responsibly, minimising harm and maximising benefits for society.
Mention two ethical issues in AI with their significance.
Answer
Two ethical issues in AI and their significance are:
Bias – Bias in AI refers to the tendency of an AI system to give results based on data that is not collected fairly. If biased data is used to train an AI system, it may produce unfair or partial outcomes, leading to discrimination against certain individuals or groups. Addressing bias is significant to ensure fair and just decision-making in AI systems.
Accountability – Accountability refers to who is responsible for the decisions and outcomes of AI systems, including their creators, operators, and organisations. It is significant because it ensures that there are clear guidelines of responsibility in case AI systems cause harm or make incorrect decisions, and it helps in monitoring, auditing, and improving AI systems for safe and reliable use.
Related Questions
In a robot designed to navigate within a two-dimensional plane and make directional changes, which combination of motions would be essential for its functionality?
- One-dimensional motion and circular motion
- Angular motion and linear motion
- Linear motion and two-dimensional motion
- Circular motion and two-dimensional motion
The Turing test, proposed by Alan Turing in 1950, is designed to assess the intelligence of machines. In this test, an evaluator converses with both a human and a machine. If the evaluator cannot distinguish between the responses of human and the machine, the machine is said to have passed the Turing test.
What is the Turing test, and how does it determine whether a machine possesses human-like intelligence?
Natural language processing (NLP) algorithms are crucial in AI systems, such as chatbots, that simulate human conversation. These AI systems rely on NLP to understand and respond to human language. The Turing test is an important measure of how effectively these systems interact with humans.
What is the main purpose of using the Turing test in AI development?
- To improve the security of AI systems
- To assess how AI systems handle sensitive data
- To evaluate if AI systems can pass for conversation with humans
- To train AI systems on large data sets
Which of the following is an important ethical consideration in AI that relates to ensuring fairness and accountability?
- The development of Natural Language Processing tools
- Bias, prejudice, and fairness in AI decision-making
- The transparency of AI algorithms
- The effectiveness of AI in healthcare applications