The major topics that will be covered in this course include:
- Introduction to AI R&:D in Accounting: Why internal AI research is essential for modern firms.
- Theory to Practice: Moving quickly from speculative AI concepts to actionable strategies.
- Managing Exponential Change: Understanding the urgency of adapting to AI&rsquo:s rapid evolution.
- Proactive AI Engagement: Conducting in-house AI benchmarks, research, and hackathons.
- The Dual Role in AI Development: Balancing innovation with data security and ethical responsibilities.
- Internal AI Tools Creation: Encouraging accountants to develop AI solutions tailored to their needs.
- Data Security and Cyber Threats: Addressing AI-enabled cybercrime and protecting against internal risks.
- Mitigating AI Misuse: Recognizing abuse patterns and implementing safe practices.
- Challenges in AI Integration: Handling resistance, management concerns, and rapid technological shifts.
- Continuous Learning and Adaptation: Building a resilient, R&:D-focused AI culture in accounting.