Accountancy Standards and Regulatory Bodies Policies on Generative AI

Last time we enumerated the standards and regulatory bodies that can have a say on the use of generative AI in accountancy, in the United States. Now, we look at the various policies and statements of these USA-based bodies with regard the use of generative AI. Some have not made any rule on generative AI […]

Accountancy Standards And Regulatory Bodies

Word Cloud of Accounting Industry Standards and Regulatory Bodies

Regulatory Bodies With Say Vis-à-vis Generative AI Previously we looked at risks to an accountancy practice associated with the use of generative AI and considered measures for their mitigation. Now, in anticipation of governmental policy and recommendations and guidelines of the accounting industry regulatory and standards bodies for generative AI use, we enumerate the relevant standards and […]

The Risks of Generative AI Use in Accounting Practice

Last time we looked at the general capabilities of generative AI and its potential use in the accounting industry. But beware, in general, generative-AI systems have several potential risks including sensitive data leakage to a large language model (LLM,) unreliable or improper prompt input, unreliable system output, including hallucination, knowledge obsolescence, bias, and unethical output, bottlenecks introduced to your […]

Generative-AI Use in Accounting

Generative-AI Capabilities, Promise, and Practice In this multi-part series, we examine the potential role of generative artificial intelligence (AI) in accountancy. First, we look at the capabilities of generative AI, the needs of the accounting industry, and how generative AI capabilities can help. We review the risks involved in the use of artificial intelligence in general and in accounting. Then we […]

Social Media Attribution For Artificially Generated Content, Part V/V

Addendum, Appropriate Prompt Engineering To repeat what was said in part I/V, in Generative AI users interact with the Large Language Model (LLM) through a chatbot, entering textual instructions in natural language or pseudocode in a process known as prompt engineering. The goal of prompt engineering is the design of optimal prompts given the LLM and […]

Social Media Attribution For Artificially Generated Content, Part III/V

LLM Imperfections, Vicariousness, And Vicissitudes Briefly, the providers of LLMs in their terms of service make the disclaimer that their models are experimental and may produce errors. For example, OpenAI says “…Artificial intelligence and machine learning are rapidly evolving fields of study. We are constantly working to improve our Services to make them more accurate, reliable, safe, […]

Social Media Attribution For Artificially Generated Content, Part II/V

AI Legal Grey Areas Last time, en route to understanding AI Attribution, we introduced the Large Language Models (LLMs.) Still, on the detour, artificial intelligence operates in legal grey areas and the technology is not perfect; so, there are some issues worth noting. Among these issues are the Large Language Models training process, database rights […]

Social Media Attribution For Artificially Generated Content, Part I/V

OPenAI artificially generated content

Before Anything Else Continuing with the theme of attribution started in the previous series “Social Media, Copyright, and Attribution, Convergence,” where we looked primarily at attribution for conventional sources of information and media; we now look closer at attribution for artificial intelligence i.e., artificially generated content. Artificially generated content is based on the information technology […]

Where Social Media, Copyright, and Attribution Converge – Part IV/IV

Continuing from the last installment in the series “Where Social Media, Copyright, and Attribution Converge,” a takedown notice or notice of takedown is the response of the social media platform in response to accusations of breach of copyright or court order. The notice can also be for such things as libel or illegal content. The […]