44:I[185,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0jo3du-icy6v2.js","/_next/static/chunks/15cy49d~_zsjj.js","/_next/static/chunks/0..ktetnpeix7.js","/_next/static/chunks/0_htf5~kl..m1.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"SendEmailButton"] 46:I[63625,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0jo3du-icy6v2.js","/_next/static/chunks/15cy49d~_zsjj.js","/_next/static/chunks/0..ktetnpeix7.js","/_next/static/chunks/0_htf5~kl..m1.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"AddToLibraryButton"] 47:I[29721,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0jo3du-icy6v2.js","/_next/static/chunks/15cy49d~_zsjj.js","/_next/static/chunks/0..ktetnpeix7.js","/_next/static/chunks/0_htf5~kl..m1.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"ShareButton"] 48:I[58016,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0jo3du-icy6v2.js","/_next/static/chunks/15cy49d~_zsjj.js","/_next/static/chunks/0..ktetnpeix7.js","/_next/static/chunks/0_htf5~kl..m1.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"ProcessEpisodeButton"] 49:I[45269,["/_next/static/chunks/08z4tkzvltetr.js","/_next/static/chunks/121~yigv24_j6.js","/_next/static/chunks/0jo3du-icy6v2.js","/_next/static/chunks/15cy49d~_zsjj.js","/_next/static/chunks/0..ktetnpeix7.js","/_next/static/chunks/0_htf5~kl..m1.js","/_next/static/chunks/0i6hzvr84kc1r.js"],"SignupCTA"] 3c:["$","h1",null,{"className":"max-w-[22ch] font-display text-[clamp(32px,4.5vw,48px)] font-medium leading-[1.05] tracking-[-0.02em] text-[color:var(--fg-1)] text-balance","children":"S1E3. Generative AI (ChatGPT) and Accounting: Friend or Foe?"}] 3d:["$","div",null,{"className":"flex flex-wrap items-center gap-x-4 gap-y-1 font-mono text-[12px] uppercase tracking-[0.1em] text-[color:var(--fg-3)]","children":[["$","time",null,{"dateTime":"2023-07-29T11:58:51.000Z","children":"July 29, 2023"}],["$","span",null,{"aria-hidden":true,"children":"·"}],["$","span",null,{"children":"00:20:21"}],false]}] 3e:["$","p",null,{"className":"max-w-[60ch] text-[18px] leading-[1.5] text-[color:var(--fg-2)]","children":"In this episode, we discuss generative AI and ChatGPT. Megan shares how she uses this technology and her mindset about when to use it. However, she highlights its limitations, particularly in dealing with technical content. She encourages..."}] 45:T520,In this episode, we discuss generative AI and ChatGPT. Megan shares how she uses this technology and her mindset about when to use it. However, she highlights its limitations, particularly in dealing with technical content. She encourages professionals to incorporate their expertise to avoid generic results. Despite its drawbacks, generative AI can be a valuable tool when used thoughtfully.

Show notes:

[00:00] Intro to today's chat about generative AI and its future potential with basic peanut butter example
[04:30] Megan's use of ChatGPT
[05:50] Key limitations of generative AI - it's not always up-to-date and lacks proprietary technical data.
[07:30] AI's limitations in understanding technical content and the necessity for expert review
[08:00] Issue of AI misusing accounting terminology due to lack of precise understanding.
[10:30] Addressing the concern of AI plagiarism and CYA including software like iThenticate and Grammarly.
[14:30] Emphasized expert oversight to prevent AI from producing generic copies.
[15:30] Story: Using ChatGPT for creating behavioral interview questions for babysitters.
[18:45] ChatGPT's promising feature: querying personal documents.
[19:30] Final thoughts.