Rudrendu PaulCombat Fake News using AI: The Future of Fact-CheckingA comprehensive approach through collaboration of AI algorithms and human fact-checkers to verify information and ensure accuracyFeb 1, 2023Feb 1, 2023
Rudrendu PaulAI Ethics Part 3: Operationalizing Data and AI Ethics: Why Companies Can’t Afford to Neglect ItOperationalizing data and AI ethics is crucial for companies to avoid reputational, regulatory and legal risksJan 31, 2023Jan 31, 2023
Rudrendu PaulAI Ethics Part 3: From Principles to Practice: Putting AI Ethics into ActionImplementing ethical AI principles through Tech Trust Teams and “red teaming” approach to ensure real-world impact is consideredJan 31, 2023Jan 31, 2023
Rudrendu PaulModel Interpretability and Explainability: A Comprehensive GuideThis article discusses techniques and best practices for explaining the predictions made by tree-based, neural network, and deep learning…Jan 19, 2023Jan 19, 2023
Rudrendu PaulAI Ethics Part 1: AI Ethics for Machine Learning Professionals: Best Practices and RecommendationsThe article discusses the importance of considering ethical considerations when working with machine learning algorithms and provides best…Jan 5, 2023Jan 5, 2023