December 4, 2024
Reflections on Baku’s ‘NCQG outcome
Article Published : The Hindu ( 043/12/2024)
Important for –GS 3
Gist of the Article: Urgency for Stronger Climate Commitments at COP 29
Climate Change Crisis:
Visible Impacts and Emerging Solutions:
COP 29 in Focus:
Hope for Ambitious Outcomes:
Key Takeaway:
The article underscores the critical need for robust financial commitments and collaborative global action to combat the escalating climate crisis. COP 29 serves as a pivotal moment to align climate finance with the scale of the challenge, particularly for developing nations and vulnerable communities.
Coastal Erosion in India: A Growing Crisis
Article Published : The Hindu/Indian express/PIB ( 03/12/2024)
Important for –GS 1/GS 3/
A recent Lok Sabha session highlighted that 33.6% of India’s coastline is under threat from erosion, emphasizing the need for robust coastal management.
State-wise highlights:
Karnataka: 48.4% of Dakshina Kannada’s coastline eroded.
West Bengal: 60.5% erosion, especially in the Sundarbans.
Kerala: 46.4% of the coastline eroded.
Tamil Nadu: 42.7% of the coastline affected.
Natural Factors:
Anthropogenic Factors:
Policy Initiatives:
Innovative Engineering:
Ecosystem-Based Solutions:
Let’s talk about AI in academia
Article Published : The Indian Express ( 04/12/2024)
Important for -GS2/GS 3
A recent petition filed by a law student before the Punjab and Haryana High Court against a private university for failing him in a course raises important questions regarding generative AI (GenAI) use in academia and research.
The university failed the student because he used AI-generated materials to submit responses in an examination. The student challenged the decision on several grounds, including lack of sufficient evidence and violation of principles of natural justice. As the university later informed the Court that they had passed him, it disposed of the petition.
Ethical and Academic Challenges: The use of GenAI tools in academia raises ethical issues about how to fairly and consistently navigate their role in education and research. While they can enhance learning, improper use may undermine educational goals.
Institutional Responses: Many Indian institutions are either sticking to traditional evaluation methods or over-relying on AI detection tools like Turnitin, which have reliability concerns, especially when AI-generated content is edited by humans.
Reliability of AI Detection Tools: AI detection tools have high false positive rates and are less reliable when AI-generated drafts are modified by users. The decision on academic malpractice should be made by subject matter experts rather than relying solely on machine-generated reports.
Institution-Level Dialogues: Institutions should initiate discussions to define what constitutes permissible AI assistance, creating both general and discipline-specific guidelines to avoid inadvertent misuse by students and researchers.
Oral Examinations: To mitigate AI misuse, institutions should supplement written assessments with oral examinations. This requires additional time and resources from faculty, which should be factored into workload planning.
AI Disclosure Norms: Students and researchers should disclose the AI tools they used in their work and their specific purposes. Inquiry committees should base decisions on these disclosures and institutional guidelines, with students maintaining records of their work and modifications.
Revisiting Incentive Structures: Policymakers should reconsider the emphasis on publications in academia, which can lead to a publish-or-perish culture. A shift towards valuing quality over quantity would help foster better scientific communication and evaluation.
Comprehensive Reforms: There is a need for comprehensive reforms to balance the opportunities and challenges posed by GenAI, creating an academic environment that integrates technology responsibly while maintaining integrity.
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