What is Explainable AI (XAI)?
- 1 Answers
- 189 Views
- I also Faced
- E-Mail Answers
Answer / Gangesh Chand Gupta
Explainable AI (XAI) refers to the branch of AI that focuses on developing models and systems which are transparent, interpretable, and able to provide insights into their decision-making processes. This is important for fostering trust in AI systems, especially in applications where decisions have significant impact on humans, such as healthcare or finance.
| Is This Answer Correct ? | 0 Yes | 0 No |
How do autoencoders work, and what are their applications?
What are some ethical considerations of generative AI?
What are some common applications of chatbots and virtual assistants?
What are some potential applications of AI in environmental sustainability for climate change mitigation?
Can you describe your research contributions?
How does AI personalize learning experiences for students?
How does Edge AI enhance data privacy and security?
Describe regularization techniques and why they're used.
How can AI be used to improve patient care in healthcare?
Can you explain how AI is used in education for adaptive learning?
What challenges do developers face in implementing AI in gaming?
How can AI help reduce carbon footprints?
-
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)
