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Data Science for Social Good: #LegalNLP #AlgorithmicBias #DrugConsumption
The document discusses opportunities for interdisciplinary research in data science, particularly focusing on legal NLP and algorithmic bias within the Indian judicial context. It highlights the unique challenges faced by district courts in India, such as case backlogs and language barriers, while also detailing a specific legal document corpus and initial findings from various legal AI models. Additionally, the document outlines topics for potential research collaboration and the preparation needed for academic publishing and post-doctoral opportunities.
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Data Science for Social Good: #LegalNLP #AlgorithmicBias #DrugConsumption
- 1. Data Science forSocial Good: #LegalNLP #AlgorithmicBias #DrugConsumption https://www.linkedin.com/in/ponguru/ April 18, 2023 NIT Calicut Ponnurangam Kumaraguru (“PK”) #ProfGiri CS IIIT Hyderabad ACM Distinguished Member TEDx Speaker https://www.instagram.com/pk.profgiri/
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- 4. Questions from you opportunityto work with PK as a post doc (3) Just wanted to know his insights about the biology based technological innovations that can be done using the present days state of the art technologies. What are new edge-cutting research happening in the interdisciplinary field of computer and electrical engineering Publication of papers, what all need to take care during writing How can we apply for funding while doing phd Scope of Post doc opportunities in India . A comparison with abroad ACM India opportunities How do you publish as an undergraduate? How can we prepare for research, when we are studying in ug Career opportunities after phd Any anonymisation techniques for handling Person Identifiable Information (PII) in data visualisation? 4
- 5. What is SocialComputing? 5 https://en.wikipedia.org/wiki/Social_computing
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- 7. Legal AI forIndian Context District courts are usually the first point of contact between the people and the judiciary. Lower courts in India are burdened with a backlog of cases (~40 million as of 2021). Local languages used in the documents filed in district courts in India. 7 Supreme Court High Courts District Courts
- 8. Legal AI /NLP - Data We collected ~900k district court case documents from Uttar Pradesh All documents in Hindi, written in Devanagari There are legal corpora for European Court of Justice and Chinese courts, none for Indian district courts 8
- 9. Legal AI /NLP - Data There are around 300 different case types, table shows the prominent ones Majority of the case documents correspond to Bail Applications 9 Variation in number of case documents per district Case types in HLDC
- 10. Legal AI /NLP - Bail Documents 10 District-wise ratio of number of bail applications to total cases
- 11. Legal AI /NLP - Bail Prediction Model 11 In general, the performance is lower in district-wise settings, possibly due to large variation across districts Overall, summarization models perform better than Doc2Vec and simpler Transformer-based models
- 12. Legal AI /NLP for Indian Context 12 HLDC: Hindi Legal Documents Corpus
- 13. Legal AI /NLP for Indian Context - Takeaways Indian Legal documents are a rich a source of domain-specific Indic- language corpora, readily available online. Multiple tasks still need attention especially for Indian settings Legal Summarization Case recommendations Citation predictions / network Sleeping beauty Bias 13
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- 32. Extent of DrugConsumption
- 33. First and continuespositive feedback increased drug consumption by upto 2x User belief (Likes) Scores 2.2/5 Comments 2.5/5 (Little to Moderate impact)
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- 37. Takeaways No dearth ofproblems to study… You should be keen to look for it around… Will be happy to discuss anything further… Happy to host students (PhD, MS, Btech), faculty… 37
- 38. Group pic &Selfie 38
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Editor's Notes
- #40 I am done.. Happy to take any questions…