😅 A “Democratized” Job Is Easy For AI To Take + 💼 Yes, Hiring is Broken...

Spotting AI Hallucinations, Product & UX Glossary from NN/G, How Mastering Back-of-the-Envelope Math Will Make You a Better Researcher & Member Interview from 🇦🇺 Australia + This Week's Events, Jobs and Podcast Picks!

📢 Our Announcements

🔬 People of Research Member Interview

People of Research Interview with Stefi Peykova

We’re excited to open up opportunities for readers to feature in our “People of Research” interview series. This is a fantastic chance to share your career story, promote your work, and engage with our global community. Each story is a source of inspiration and learning, reaching over 1,300 newsletter subscribers, and +2,600 LinkedIn followers across +60 countries.

📰 Article Picks

This week’s article picks:

🔗 Democratized’ Job Is Easy For AI To Take | In “A ‘Democratized’ Job Is Easy For AI To Take,” Debbie Levitt cautions against simplifying professional roles to a level susceptible to automation. She argues that while making tasks easier may seem inclusive, it devalues deep expertise and leads to roles being replaced by AI. Specifically in UX, Levitt warns that overlooking specialized skills for general participation undermines both the integrity of the profession and the quality of work produced.

🔗 Decoding Product & UX Terminology | Sara Paul’s “Product & UX Glossary” is a crucial guide for professionals looking to harmonize their strategic language. Explaining essential terms like “Blue-Ocean Strategy” and “Customer Lifetime Value (CLV),” the glossary links complex concepts with practical examples, such as the “Business-Model Canvas.” This resource not only fosters better communication across teams but also enhances strategic understanding, making it a must-have for enhancing industry dialogue.

🔗 Mastering Back-of-the-Envelope Math Will Make You a Better Data Scientist (& Researcher) | In Towards Data Science, Torsten Walbaum highlights the power of simple, back-of-the-envelope calculations for data scientists (& researchers). He champions quick approximations over complex models for timely business decisions, inspired by historical figures like Enrico Fermi. Walbaum provides practical tips for refining these calculations, asserting their crucial role in simplifying and speeding up the decision-making process. This skill is presented as both fundamental and transformative for professionals in research.

🔗 Spotting AI Hallucinations: A Guide to Accurate LLM Outputs | Aravind Selvamani discusses AI errors, such as misinterpreting instructions or omitting crucial details. He categorizes these mistakes and uses examples like faulty translations to illustrate his points. Selvamani emphasizes enhancing AI reliability by closely monitoring and correcting outputs, ensuring technology remains trustworthy and effective.

🎟️ Event Picks

🎙 Podcasts Pick

In this week’s podcast pick:

💼 Jobs Picks

If you’re a hiring manager and interested in sharing opportunities in research that reach +1200 researchers across +60 countries? ✉️ Email us!

UK & Europe

North America

Oceania

Latin America

Asia

👋 About us

We’re People of Research - a global hybrid community uniting researchers across the tech industry, from UX Research to Behavioural Science. We connect, collab and grow:

✏️ Join +1300 researchers in tech across +60 countries:

People of Research was created by @faysel

Reply

or to participate.