This course delves into the Evolution of Artificial Intelligence (AI) in the field of accounting, providing a comprehensive overview from the 1950s to the present and offering insights into future trends. Participants will explore the historical progression from rule-based accounting to the emergence of machine learning, predictive analytics, and the integration of AI technologies like ChatGPT in accounting processes.

The course not only covers the evolution of AI but also equips participants with practical knowledge about using ChatGPT effectively and addresses ethical considerations in AI implementation. Key modules focus on AI-powered data extraction, risk detection, tax research, ethical implications, client interaction, innovation in accounting practices, and the integration of blockchain with AI in audit processes.

The key topics we discuss are:

Evolution of AI in Accounting: Explore historical milestones and future trends in AI for accounting tasks.
Understanding ChatGPT: Introduce LLM and GPT, learning their uses, limitations, and the C.R.E.A.T.E method.
AI-Powered Data Extraction and Ratio Analysis: Master text recognition, auto-calculation, and real-time analytics for financial metrics.
Risk Detection and Mitigation: Develop skills in anomaly detection, pattern analysis, and strategies for risk mitigation.
Tax Research and Analysis & Compliance: Automate search, interpretation of tax laws, simulate scenarios, and monitor regulatory changes.
Ethical Implications of AI: Address concerns like data privacy, algorithmic bias, transparency, and accountability.
Effective Client Interaction: Utilize AI for onboarding, FAQ handling, personalized advice, and real-time financial updates.
Innovation in Accounting Practices: Implement automatic coding, financial analysis, and explore AI's role in asset management.
Integration of Blockchain, AI, and Audit: Examine AI's role in auditing processes within a blockchain context and its impact on accounting roles.