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ChatGPT’s Political Compass: How AI Personalizes Responses Based on Inferred User Views

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Ministry of Science and ICT Honors Students for Pioneering AI Insights in National Contest

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Oluwaseun Dania Champions Africa’s Creative AI Revolution at World Bank Forum

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Fairscan AI Champions Human Rights in Generative AI Visuals for African Representation

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CIOs Chart Course Through Evolving AI Regulatory Landscape in 2025

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Bridging the Cultural Divide: How AI Can Better Understand Latin American Perspectives

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AI’s Cultural Compass: Navigating Global Values

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South Korea’s Financial Supervisory Service to Integrate AI for Enhanced Complaint Resolution

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Unpacking How AI Models Resolve Conflicting Information from Images and Text

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AI’s Role in Enhancing Accessibility for Individuals with Disabilities: Progress and Persistent Challenges

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Aligning LLMs with Diverse Human Preferences: A New Estimator’s Promise

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Assessing Language Model Reliability for Global Human Rights Monitoring

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The Imperative for Human Oversight in AI-Driven Healthcare Amidst Information Deluge

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Unveiling Bias: A Deep Dive into Race and Gender Representation in AI-Generated Occupational Personas

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Research Reveals AI Generates Historical Images with Colonial Bias

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The Elusive Quest for Common Sense in Artificial Intelligence: A Deep Dive into Current Limitations

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Metro State Students Present on AI Bias and Transparency in Generative AI

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Elon Musk Intensifies AI Bias Debate with Sharp Criticism of OpenAI and Rivals

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Singapore’s Bioethics Committee Recommends Halting Heritable Gene Editing Due to Safety Concerns

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Balancing the Scales: How Data Curation Leads to Fairer Gender Classification AI

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Balancing Speed and Accuracy: New Insights into AI for Gaming Chat Moderation

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Addressing User-Facing AI Biases: How Product Teams Uncovered and Fixed “Over-the-Hood” Inclusivity Bugs

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Brown University Study Uncovers Widespread Ethical Lapses in AI Mental Health Chatbots

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Addressing the Root Cause: How SHIELD Mitigates Hallucinations in Vision-Language Models

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Diagnosing and Correcting Latent Sycophancy in AI Models with the Beacon Benchmark

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Unpacking Bias in AI’s Thought Process: How Language Models Aggregate Stereotypes

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Enhancing Hate Speech Detection with Culture-Aware Modeling

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Unmasking LLM Bias: A New Benchmark Reveals Factual Inconsistencies Across User Demographics

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Assessing LLM Fairness: A New Framework Prioritizes Real-World Harm

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When AI Reviews AI: Exploring Biases in Large Language Model Peer Review

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