The BharatPacific AI Week, July 2024

We are glad to announce The Bharat Pacific AI Week, featuring weekly events on AI, law and policy organised by the Indian Society of Artificial Intelligence and Law.

The Bharat Pacific AI Week is an unprecedented event dedicated to exploring the future of artificial intelligence within the Indo-Pacific region. This event will take place on July 20-21, 2024, under the auspices of the Indian Society of Artificial Intelligence and Law (ISAIL.in).

Event Highlights

• Dates: July 20-21, 2024
• Venue: Virtual, hosted on MS Teams
• Organizers: Indian Society of Artificial Intelligence and Law (ISAIL.in)
• Sessions: Featuring two key committee sessions focusing on the latest advancements and ethical considerations in AI in cybersecurity & education

Why Attend?

The Bharat Pacific AI Week aims to provide a platform for thought leaders, policymakers, researchers, and industry experts to:

• Engage in meaningful dialogues about AI policies, ethics, and technologies.
• Share insights and innovations shaping the future of AI.
• Collaborate on solutions tailored to the unique needs and challenges of the Indo-Pacific region.

Key Sessions GenAI and Education Use Cases in India

• Hosted by Kailash Chauhan, Chairperson, R&D Committee, ISAIL
• Co-chaired by Samridhi Jain & Bogdan Grigorescu
• Date: July 20, 2024, 4:30 PM IST

Discussion Points

• Specific Educational Contexts and Target Audiences Exploring the potential applications of generative AI in various educational contexts and identifying the specific target audiences that could benefit the most. Discussing the sectors within education where generative AI could have the most significant impact, such as K-12, higher education, or vocational training.
• Viability and Impact Evaluating the factors that make certain generative AI use cases particularly promising or impactful. Considering the elements that contribute to the feasibility and success of these applications in the Indian educational landscape.
• Commercial and Technical Viability Analyzing the business models and technical requirements necessary for implementing generative AI in education. Discussing considerations around scalability, infrastructure, and sustainability to ensure the long-term viability of these solutions.
• Legal and Ethical Considerations Identifying potential challenges and concerns related to the ethical and legal aspects of deploying generative AI in educational settings. Addressing issues such as data privacy, bias, intellectual property, and the ethical implications of AI-generated content.
• Current AI Landscape and Policy Environment Sharing insights on the current state of AI in India, focusing on technological advancements and the evolving policy environment. Highlighting noteworthy trends, initiatives, and regulatory frameworks that are shaping the future of AI in education.

These discussion points aim to foster a comprehensive and insightful conversation about the role of generative AI in transforming education in India.

Cybersecurity Risks due to the Proliferation of Generative AI

• Hosted by S N Mishra, Chairperson, Research Ethics Committee, ISAIL
• Co-chaired by Shirsha Ray Chaudhari
• Date: July 21, 2024, 4:30 PM IST

Discussion Points Emerging Threat Landscape

• Enhanced Social Engineering: Discuss how generative AI enables more sophisticated and personalized phishing attacks, deepfakes, and other social engineering tactics.
• Automated Malware Creation: Explore the potential for AI to accelerate malware development and create more adaptive threats.
• Data Poisoning Risks: Consider the implications of adversaries manipulating AI training data to introduce vulnerabilities or biases.

Data Privacy and Protection Challenges

• Sensitive Data Exposure: Examine risks associated with inputting sensitive information into public AI platforms.
• Data Retention Concerns: Discuss issues around how AI companies store and use data provided through user interactions.
• Compliance Implications: Consider how generative AI usage may impact regulatory compliance (e.g., GDPR, HIPAA).

Mitigation Strategies

• AI-Powered Defense: Explore how organizations can leverage AI for threat detection, automated response, and predictive security.
• Employee Training: Discuss the importance of educating staff on safe AI usage and recognizing AI-enhanced threats.
• Access Controls: Consider strategies for managing and restricting access to AI tools within organizations.

Policy and Governance

• AI Security Policies: Discuss the need for comprehensive policies governing AI use in the workplace.
• Ethical AI Development: Explore frameworks for ensuring AI systems are developed with security and privacy in mind.
• Regulatory Landscape: Consider current and potential future regulations around AI security and privacy.

Emerging Trends and Future Outlook

• AI Arms Race: Discuss the evolving dynamic between AI-powered attacks and defenses.
• Integration with Existing Security Stacks: Explore how generative AI is being incorporated into cybersecurity tools and platforms.
• Balancing Innovation and Security: Consider strategies for harnessing AI's benefits while mitigating associated risks.