Conference on Emerging Jurisprudence of Artificial Intelligence (AI)

About the Conference

The perspective of Lessig highlights the profound influence that programmers and developers wield in shaping the digital-legal world. AI’s integration into legal processes has the potential to revolutionize the practice of law. The advent of AI is no different to other social and technological developments.

There is a need for ethical considerations and responsible coding practices, as these digital regulations can impact privacy, security, and fairness, necessitating oversight and accountability akin to that of traditional legal systems. There is a need to deliberate upon AI’s impact on law because of the profound implications it holds for justice, fairness, and societal well-being. The conference sessions aim to explore predictive analytics in litigation, where AI can analyze historical data to forecast litigation outcomes, thus aiding legal professionals in strategy formulation.

The conference will also delve into AI-driven legal research, showcasing how machine learning algorithms can efficiently sift through vast amounts of legal documents to identify pertinent information. Moreover, the implications of automated decision-making in judicial systems will be scrutinized, addressing both the benefits and potential biases introduced by AI.

Theme & Sub themes

• AI in Courtroom Management and E-Justice
  • Virtual courtrooms and AI for managing remote hearings
  • Predictive Analytics in Litigation
  • AI-Driven Legal Research
  • Automated Decision-Making in Judicial Systems
  • Enhancing transparency and efficiency in court proceedings with AI tools
  • Digital evidence management using AI for document sorting and analysis
• Regulatory Frameworks and Ethical Guidelines
  • Defining AI standards: Safety, transparency, and accuracy requirements
  • Development of AI Regulatory Frameworks
  • Ethical Guidelines for AI in Legal Contexts
  • Ensuring Compliance with Human Rights and Legal Standards
  • Creating sector-specific AI regulations (e.g., healthcare, finance, transportation)
  • Current global AI regulations: A comparative analysis
• Liability and Accountability in AI Systems
  • Challenges of Attributing Responsibility in AI Systems
  • Legal Implications of AI Malfunctions
  • Addressing Harm Caused by AI Systems
  • Current laws addressing AI liability: Gaps and limitations
  • The “human in the loop” concept: Ensuring human oversight for liability purpose
  • Comparative analysis of human vs. AI accountability in decision-making
• Privacy and Data Protection
  • Implications of AI on Privacy Rights
  • Legal Measures for Data Protection in the Era of Big Data
  • Safeguarding Personal Information with AI Technologies
  • Balancing Privacy Rights with AI-Driven Public Safety Measures
  • AI and the Erosion of Anonymity: Risks and Solutions
  • Privacy Implications of Biometric Data Collection and Analysis
  • The Role of Consent in AI Data Processing: Challenges and Solutions
  • AI Techniques for Data Anonymization and De-Identification
  • Role of Encryption and Secure Multi-Party Computation in Data Protection
• AI, Cybersecurity and legal frameworks
  • Legal challenges of AI in cybercrime and cybersecurity
  • The role of AI in cyber law enforcement
  • International treaties and agreements on AI and cybersecurity
  • AI-enabled cyberattacks (e.g., deep fakes, AI-based phishing)
  • The role of AI in vulnerability assessment and penetration testing
  • Bias in AI algorithms and its impact on cybersecurity
• AI and Intellectual Property Law
  • Ownership Issues in AI-Generated Works
  • Creativity and AI: Legal Perspectives
  • Protecting Intellectual Property in AI Innovations
  • Automated IP dispute resolution mechanisms using AI
  • The debate over granting personhood to AI in IP law
  • Comparative analysis of AI and IP regulations across different jurisdictions
• AI for Environmental Monitoring and Conservation
  • AI-Driven Wildlife Tracking and Conservation
  • Remote Sensing and AI for Ecosystem Monitoring
  • Predictive Analytics for Biodiversity Protection
  • AI in Climate Modeling and Prediction
  • AI Solutions for Renewable Energy Optimization
  • AI-Enhanced Climate Resilience Strategies
  • AI Technologies for Air and Water Quality Monitoring

Call for Papers

Research papers/articles in English are invited from academicians, researchers, professionals, practitioners, and students and other stakeholders involved in the above elaborated themes or on any other emerging issues and related areas on the broader sub-themes given above. The selected papers may be published in an edited book with ISBN Number.

Submission Guidelines

• The abstract is up to 300 words accompanied by a brief profile of the author/s indicating his/her email ID, contact number, designation, and official address.
• The word limit for full paper along with an abstract is 3000 – 5000 words (excluding footnotes) which is required to be submitted in MS Word format. The same may be considered for publication in the form of an edited book with ISBN.
• Font: Times New Roman, Font Size: 12, Line spacing: 1.5, A4 size paper with 1” the margin on all sides.
• The papers are not to exceed 10% similarity under any anti plagiarism detection software.
• For references and bibliography, the author(s) are required to follow the Bluebook: A Uniform System of Citation, 20th edition.

How to Submit?

Interested candidates can submit entries online via the link given at the end of the post.

Awards

The best three papers presented during the conference shall be awarded certificates of merit.

Important dates

• Deadline for abstract submission: 20.08.2025
• Notification of selected Abstracts: 25.08.2025
• Last date for payment of fees and registration: 05.09.2025
• Deadline for the submission of final research papers: 10.09.2025
• Date of the conference: 20.09.2025

Fee

• Students UG & PG / Research Scholars – Rs. 1000/-
• Faculty – Rs. 1500/-
• Foreign Participants – USD 30

Contact

Email – [email protected]

Click here to submit.