AI와 ESG의 만남 - AI-driven ESG와 지속가능한 기업 가치 창출

Overview

Discover how SK Telecom leverages AI technology to enhance ESG initiatives, solve social challenges, and establish robust AI governance frameworks while creating sustainable business opportunities.

Syllabus

• Introduction to AI and ESG
Understanding ESG: Environmental, Social, and Governance
The role of AI in transforming ESG strategies
• AI Technologies and ESG Applications
Machine Learning for Environmental Impact Assessment
AI-driven Social Initiative Enhancement
Governance and Compliance with AI Tools
• Case Study: SK Telecom and AI-enhanced ESG
Overview of SK Telecom's ESG Strategies
Specific AI Technologies Employed by SK Telecom
Outcomes and Impacts: Success Stories and Lessons Learned
• Developing AI Governance Frameworks
Principles of Robust AI Governance
SK Telecom's Approach to AI and Governance
Implementing Ethical AI Practices
• AI-driven Sustainable Business Opportunities
Identifying AI-powered Market Opportunities
Integrating AI with Traditional Business Models
Measuring Sustainability and Business Value
• Solving Social Challenges with AI
AI Applications in Healthcare, Education, and Community Services
Collaborative AI Solutions for Social Impact
Monitoring and Evaluating Social Outcomes
• Future Trends in AI and ESG
Emerging Technologies and Innovations
Predicted Impact on Corporate Strategies and ESG Goals
Preparing for the Future: Building Resilience and Adaptability
• Final Project and Application
Design an AI-driven ESG initiative for a hypothetical company
Incorporate learnings from SK Telecom and industry best practices
Present findings and actionable strategies for implementation
• Course Review and Reflections
Key Takeaways and Knowledge Synthesis
Pathways for Continued Learning in AI and ESG

Subjects

Business