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AI: How Lawyers, Comedians Are Teaching Chatbots to Talk

The Australian Financial Review

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Details

Date Published
5 Apr 2026
Priority Score
2
Australian
Yes
Created
4 Apr 2026, 10:00 pm

Authors (1)

Description

They vent, confess and role-play with strangers, all to help machines learn how to sound human.

Summary

This report examines the human labor market behind Reinforcement Learning from Human Feedback (RLHF), where professionals like lawyers and comedians simulate complex emotional scenarios to refine AI communication. While detailing the gig economy's role in making frontier models sound more empathetic and human-like, it highlights the increasing sophistication of AI social manipulation capabilities. These advancements in human-centric interaction are critical to understanding how future AI systems might successfully bypass human barriers through social engineering or persuasive deception. The article provides context for the labor-intensive processes used by leading AI labs to reduce superficial errors while potentially introducing new nuances in how chatbots role-play sensitive situations.

Body

Issie LapowskyApr 5, 2026 – 7.36amLate last year, Gina found herself pouring her heart out to a pastor on a virtual call.She was plumbing the depths of her most difficult memories—her breakups, her childhood trauma, her relationship to her father, who’d been forever changed by his time fighting in the Vietnam War. The pastor sat and listened, asked questions and patiently counseled Gina. He suggested some self-care, perhaps a spa day. “He actually gave me some really good advice,” she says. “It took me aback.”Loading...Bloomberg BusinessweekSaveLog in or Subscribe to save articleShareCopy linkCopiedEmailLinkedInTwitterFacebookCopy linkCopiedShare via...Gift this articleSubscribe to gift this articleGift 5 articles to anyone you choose each month when you subscribe.Subscribe nowAlready a subscriber? LoginFollow the topics, people and companies that matter to you.Find out moreRead MoreAIGig economyAutomationWorkplaceFetching latest articles