Design of Bright Internet systems that can assist and aid governance of challenges
How can we design systems using AI to address problems like fake websites, sources of misinformation, and propagators to create bright internet ecosystems?
How would addressing these problems affect user experiences?
Managing challenges to Bright Internet surrounding AI and cyber security
What are the types of risks that AI may cause that infringe cybersecurity such as deep fakes?
What should be the principles and technologies to prevent these risks?
How can five principles of Bright Internet be applied to Bright AI: Origin Responsibility, Deliverer Responsibility, Identifiable anonymity, Privacy Protection, and Global Collaboration, but not intended to limit?
Fair regulation of AI: policy and laws at present and in the future
Critically evaluate AI to foster Bright Internet
What is the limit with the perspective of architecture and data to pretrain? How can we manage hallucinations by Generative AI?
How to integrate traditional Analytical AI and Generative AI to ensure truthfulness and optimization in the dialogue?
Adequate mapping of AI solutions and problems to reduce unintended consequences
Validation of the performance of AI application in practice: Cost-effectiveness, Time savings, productivity improvements, etc
Learning to securely use, challenge, and live with AI under Bright Internet
Ethical policies; Global collaboration efforts under associations
Need of education on AI applications: Skilling, Future of Work debates