🆕 Program is available here.

● Impact on Individual Well-being

1. Positive Impacts:

   Personalized Learning: Catering to individual learning styles and paces. GenAI can adapt educational materials and support to fit each learner, making education more effective and enjoyable.

   Efficient Daily Life: With AI support, everyday tasks and decisions become more streamlined. From scheduling to content recommendations, GenAI can enhance individual productivity and leisure.

   Creative Assistance: Generating novel ideas or suggestions to bolster human creativity. GenAI can be a tool for artists, writers, and other creatives, offering inspiration or direct content generation.

   
   

   We call for theoretical and empirical research to understand the possibilities and limitations of current AI/ML technologies for discussing positive impacts on individual well-being.

   
   

2. Negative Impacts:

   Over-reliance: A potential decrease in independent decision-making and thinking abilities due to excessive reliance on AI. Overusing AI for decisions can hinder personal growth and critical thinking skills.

   Privacy Concerns: Potential misuse or mishandling of personal data. With more data feeding into AI systems, there’s increased risk to individual privacy.

   Mental Health Issues: Increased stress or deterioration of human relationships due to over-interaction with AI. Reduced human contact and over-reliance on virtual interactions might affect emotional well-being.

   Ethical Dilemmas: Questions about the extent to which one should rely on AI suggestions or decisions. Drawing the line between AI assistance and personal judgment becomes a crucial ethical consideration.

   
   

   We call for theoretical and empirical research to understand the possibilities and limitations of current AI/ML technologies for discussing negative impacts on individual well-being.

   
   

3. Research Challenges for Individual Well-being

   Data Safety: Research on technologies and policies to bolster the protection of personal data and privacy.

   Mental Health Assessment: Evaluating the impact of AI interactions on psychological health and well-being.

   Ethical Boundaries: Investigating the ethical standards and guidelines for using AI in daily life.

   Maintaining Autonomy: Exploring ways to balance AI support with personal judgment and autonomy.

   
   

   The integration of Generative AI brings profound impacts both at societal and individual levels. Deep understanding and appropriate research are essential to harness its benefits and address its challenges.

   
   

● Impact on Social Well-being

1. Positive Impacts:

   Educational Revolution: GenAI has the potential to personalize learning environments, enhancing both the efficacy and accessibility of education. Tailored educational content can cater to individual needs, maximizing the learning potential for students from diverse backgrounds.

   Content Abundance: Rapid generation of diverse content can elevate the quality and speed of entertainment and information dissemination. GenAI can produce vast amounts of content, from news articles to digital artwork, making it easier for creators and media outlets to meet audience demands.

   Equalizing Information Access: Catering information to diverse populations promotes equal access to knowledge. GenAI can break down barriers by customizing content to different linguistic and cultural groups, ensuring equitable information distribution.

   
   

   Discussions on the possibilities and limitations of the current AI/ML technologies for discussing positive impacts on social well-being are welcomed.

   
   

2. Negative Impacts:

   Spread of Misinformation: There is an increased risk of quickly generating and disseminating false information, such as deepfakes. Enhanced generation capabilities can be misused, leading to misinformation campaigns or fraudulent activities.

   Amplification of Bias: If trained on biased data, there’s a possibility of reinforcing existing societal prejudices. Algorithms may unintentionally propagate and even amplify societal biases present in training data.

   Job Displacement: Certain professions or tasks might become redundant due to AI automation, leading to unemployment concerns. As GenAI takes over creative and information-based roles, traditional jobs in these sectors might decline. Discerning human intent and originality from AI-generated content becomes a profound philosophical debate.

   Philosophical Concerns: The blurred boundary between human and AI-generated content raises questions about truth and values.

   
   

   Discussions on the possibilities and limitations of the current AI/ML technologies for discussing negative impacts on social well-being are welcomed.

   
   

3. Research Challenges for Social Well-being

   Counteracting Misinformation: Research on technologies and policies to mitigate the negative impact of AI-generated false information.

   Bias Rectification: Exploring methods to design and train AI without inheriting societal biases.

   Role in Education: Investigating the optimal role and boundaries of AI in educational settings.

   Societal Assessment: Developing methods to evaluate and predict the broader societal impacts of AI.

   
   

   In order to encourage people to accept the results of AI, we need to develop desirable human-AI partnerships. We welcome ethical and philosophical discussions on this issue. The topics include “Machine Intelligence vs. Human Intelligence”, or “How AI affects our human society or way of thinking”, issues on Infodemic (fake news) with social media, personal identity, etc

   
   

● 1st day, March 25th

● 2nd day, March 26th

● 3rd day, March 27th