Presenting The Bharat Pacific AI Week, July 20-21, 2024, 4.30 PM IST
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 document artificial intelligence use cases, trends and relevant policy developments for a sense of transparency in the Indian AI community.
Key Sessions
GenAI and Education Use Cases in India [Click here to Register]
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 [Register Here]
Hosted by S N Mishra, Chairperson, Research Ethics Committee, ISAIL
Co-chaired by Shirsha Ray Chaudhari
Date: July 21, 2024, 4:30 PM IST
Shirsha Ray Chaudhuri and S N Mishra will lead this session, in which we will be discussing about how generative AI technologies make cause impending cybersecurity risks.
We will be joined by Santhi K., Thomson Reuters, Nupur Shah from the ISAIL Research Ethics Committee and would be graced by the presence of Dr Chiranjiv Roy, PhD, Distinguished Expert of the ISAIL Advisory Council and Bogdan as well.
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.
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