Rhea Bhattacharya

About

Rhea Bhattacharya is an AI correspondent with a keen eye for cultural, social, and ethical trends in Generative AI. With a background in sociology and digital ethics, she delivers high-context stories that explore the intersection of AI with everyday lives, governance, and global equity. Her news coverage is analytical, human-centric, and always ahead of the curve. You can reach her out at: [email protected]
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The UK’s Evolving Path: Navigating AI Regulation from Early Foundations to Future Challenges

TLDR: The UK has adopted a unique, "pro-innovation" approach to AI regulation, aiming to balance economic growth with risk mitigation. Starting from early ethical...

Navigating the New Educational Divide: How COVID-19 and AI Reshape Higher Learning

TLDR: This research paper explores the combined long-term impacts of the COVID-19 pandemic and the rapid integration of AI on higher education, particularly in...

Comparing ASR Models for Bangla: Wav2Vec-BERT Outperforms Whisper in Low-Resource Settings

TLDR: This research compares OpenAI's Whisper and Facebook's Wav2Vec-BERT for Automatic Speech Recognition (ASR) in Bangla, a low-resource language. The study found that Wav2Vec-BERT...

LLMs Show Systematic Disagreement in Document Relevance: Implications for SDG Research

TLDR: A study reveals that different LLMs systematically disagree on document relevance, especially for borderline cases in Sustainable Development Goal (SDG) research. This disagreement,...

Unmasking AI Bias: Why “Fairness” Can Be an Illusion in Automated Hiring

TLDR: New research reveals that common AI fairness methods can create an "illusion of fairness" by failing to account for hidden biases in training...

Modeling Student Success with Generative AI: A New Simulation Approach

TLDR: A new study by Seyma Yaman Kayadibi utilizes a Monte Carlo simulation, informed by a systematic review of student perceptions, to quantify the...

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