ChatGPT for Auditors | Also Suitable for Fraud Investigation

Differentiate strong AI (artificial general intelligence and artificial superintelligence) from current VK AI, and examine how pattern recognition, machine learning, and deep learning power ChatGPT.

Explain generative AI and large language models, and show how ChatGPT uses a 175‑billion‑parameter LLM to generate human‑like text and images, music, and more through transformer architectures.

Explore how transformer-based language models power ChatGPT, using self-attention, encoder-decoder architecture, and deep learning to handle structured and unstructured data for language tasks.

Create an OpenAI account to start using ChatGPT by signing up at openai.com, choosing Google or email, and completing mobile verification with a six-digit code via SMS or WhatsApp.

Design an audit plan for an electric utility company using ChatGPT, detailing objective, scope, risk assessment, and resource allocation, then build an environmental and social impact checklist.

Explore Google Bard as a competitor to ChatGPT, with image reading, data analysis from visuals, and multilingual prompts, and apply its fraud investigation insights on revenue understatement and red flags.

Master prompt engineering for audits by framing context, using precise wording, and following up with ChatGPT to generate payroll audit questions, assess vendor management and controls, and uncover fraud.

Explore best prompts for engaging with an expert system like ChatGPT, including role play, translating audit plans, summarizing reports, critiquing findings, and solving problems with precise wording and code support.

Learn how to identify audit samples using aging analysis with ChatGPT in GPT-4, leveraging self-service BI to explore accounts receivable data, clean formatting, and surface top pending invoices.

Learn to select unbiased, representative audit samples using random sampling with proportional representation and stratified approaches, avoiding convenient sampling and bias through Python and ChatGPT.

Assess data safety in ChatGPT by examining whether uploaded client data is used for training, the risk of leakage, and ChatGPT's claim that data is not retained after a session.

Apply Benford's law to sample audit selection, using leading digits to flag anomalies in invoice numbers; leverage ChatGPT analysis to generate insights and guide audits.

Identify and investigate data outliers using interquartile range and box plots, with ChatGPT-assisted auditing to set upper and lower bounds and verify anomalies.

Analyze procurement data to identify auditing candidates by locating undelivered records, calculating days of delay from the order date, and ranking cases by delay with Excel or ChatGPT.

Analyze telecom churn using descriptive statistics, reasons, and customer lifetime value to identify actions that reduce churn for new and old customers.

Explore how ChatGPT and Bard analyze financial statements for audits using OCR, extract key metrics like revenue trends and EBITDA, and turn findings into actionable audit questions and red flags.

Explore anomaly detection as a powerful unsupervised learning approach for audits, using isolation forest and AutoML with ChatGPT to identify anomalies without labeled data.

Divide the customer base into four distinct segments using segmentation and k-means, then develop customer personas and tailored marketing strategies.

Generate images with ChatGPT for audit meetings and PowerPoint decks by crafting specific prompts, using visual search, and refining images for presentation clarity while considering privacy.

Explore the ten prompt areas of 2023, from general knowledge to ethics of AI in art and creative writing. See how ChatGPT supports learning across history, science, language, and business.

Explore prompts that challenge ChatGPT, highlighting its limitations, especially with very specialized or up-to-date knowledge, real-time data, and subjective or culturally nuanced tasks.

Explore well crafted prompts that emphasize clarity, specificity, prompt engineering, and guiding ChatGPT toward targeted responses, with examples spanning genre, time period, steampunk, Paris life, dietary needs, and beginner prompts.