Interested to Buy Any Domain ? << Click Here >> for more details...
How does Explainable AI enhance transparency and trust in AI decision-making?
- 1 Answers
- 98 Views
- I also Faced
- E-Mail Answers
Answer / Rajesh Kumar Gupta
Explainable AI (XAI) enhances transparency by providing clear explanations for AI systems' decisions, making it easier to understand their reasoning process and identify any potential biases or errors. This increases trust in AI systems by helping users feel more confident that the AI is making reliable and unbiased decisions. Transparency is essential in many domains, such as finance, healthcare, and criminal justice, where AI-assisted decision-making can have significant consequences for individuals and society.
| Is This Answer Correct ? | 0 Yes | 0 No |
Can you describe an example of how AI is used in intelligent tutoring systems?
What is the biggest misconception people have about AI?
Why is it beneficial to run AI models on edge devices (IoT)?
What is quantum machine learning?
How can AI improve disaster response through autonomous systems?
How would you build a simple classification model?
What is the role of AI in drug discovery?
What are some applications of AI in smart agriculture?
What is the role of reinforcement learning in financial decision-making?
How does AI contribute to public transportation efficiency?
What are some potential applications of Neuromorphic Computing in computer vision for improved image recognition?
Can AI improve weather prediction models?
-
AI Algorithms (74) - AI Natural Language Processing (96)
- AI Knowledge Representation Reasoning (12)
- AI Robotics (183)
- AI Computer Vision (13)
- AI Neural Networks (66)
- AI Fuzzy Logic (31)
- AI Games (8)
- AI Languages (141)
- AI Tools (11)
- AI Machine Learning (659)
- Data Science (671)
- Data Mining (120)
- AI Deep Learning (111)
- Generative AI (153)
- AI Frameworks Libraries (197)
- AI Ethics Safety (100)
- AI Applications (427)
- AI General (197)
- AI AllOther (6)
