Interested to Buy Any Domain ? << Click Here >> for more details...
What is the relationship between transparency and accountability in AI?
- 1 Answers
- 108 Views
- I also Faced
- E-Mail Answers
Answer Posted / Hari Narayan Dwivedi
Transparency and accountability are closely related concepts in AI. Transparency refers to a system's ability to explain its decisions and reveal its inner workings, while accountability implies that an AI system must be held responsible for its actions. Ensuring transparency can help build trust and enable accountability in AI systems.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers
Explain the concept of adversarial attacks and how to protect AI models from them.
What are the advantages of low-power AI models?
What are the limitations when applying AI in climate modeling?
How do you ensure that your models are fair and unbiased?
How can you optimize AI models for edge deployment?
What are some of the major challenges facing AI research today?
What are the challenges in applying AI to environmental issues?
How can AI be used to predict patient outcomes?
How is AI used in procedural content generation?
Explain how AI models create realistic game physics.
How can federated learning be used to train AI models?
Discuss the ethical challenges of using AI in healthcare.
Explain the concept of SHAP and its role in XAI.
What are the limitations of AI in cybersecurity?
Can you describe the importance of model interpretability in Explainable AI?
