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Today, we’re going to explore a topic that seems to be touching nearly every industry, every workplace, and increasingly every part of our daily lives: artificial intelligence.
But this conversation is not just about what AI can do. It’s about what AI assumes, what it values, what it misses, and what happens when powerful technologies are deployed into environments they were not designed to understand.
Mike Konrad's guest is Dr. James Maisiri, an AI researcher and writer whose work focuses on responsible AI, digital transformation, education, labor markets, and the societal impact of emerging technologies.
His work has been featured through organizations and publications including UNESCO, Guardian, and others, and his message is both simple and profound: AI is not neutral.
In one of his three TEDx talks, Dr. Maisiri said, "If Africa does not shape AI, then AI will shape Africa."
While his work often focuses on African communities and institutions, the lesson is much broader.
Every industry, including electronics manufacturing, needs to think carefully about how we adopt AI, what assumptions are built into these systems, and how we validate their use before trusting their output.
In electronics reliability, we often say that context matters. Materials, environments, residues, humidity, temperature, field conditions, and use cases all influence performance.
But this conversation is not just about what AI can do. It’s about what AI assumes, what it values, what it misses, and what happens when powerful technologies are deployed into environments they were not designed to understand.
Mike Konrad's guest is Dr. James Maisiri, an AI researcher and writer whose work focuses on responsible AI, digital transformation, education, labor markets, and the societal impact of emerging technologies.
His work has been featured through organizations and publications including UNESCO, Guardian, and others, and his message is both simple and profound: AI is not neutral.
In one of his three TEDx talks, Dr. Maisiri said, "If Africa does not shape AI, then AI will shape Africa."
While his work often focuses on African communities and institutions, the lesson is much broader.
Every industry, including electronics manufacturing, needs to think carefully about how we adopt AI, what assumptions are built into these systems, and how we validate their use before trusting their output.
In electronics reliability, we often say that context matters. Materials, environments, residues, humidity, temperature, field conditions, and use cases all influence performance.
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ตอนอื่นๆ ใน PODCAST นี้
Today, we’re going to explore a topic that doesn’t always get the attention it deserves but has a direct impact on product quality and long-term reliability.
Mike Konrad is joined by Mehdi Nahali, founder of PCB Revision Control PRO. His platform is designed to replace spreadsheets, emails, and di…
For decades, cleaning circuit assemblies after soldering was not optional. It was standard practice across the electronics manufacturing industry. Then, almost overnight, that changed.
In this episode of Reliability Matters, Mike Konrad takes you back to the origins of that shift. From the widespr…
This is part two of a two-part series.
In Part One, we explored how the electronics industry transitioned from a clean-everything approach to one where cleaning became optional. But what happens when the assumptions behind “no-clean” collide with modern electronics design?
In this episode of Reli…
Tomachie has quite a few tricks up its sleeve. Its eponymous platform provides AI-assisted analysis of PCB schematic data. It optimizes DfT and identifies the ideal locations for physical test point insertion. And it generates a 0-100 layout-readiness score, providing design teams with an objective…
ข้อสงวนสิทธิ์: พอดแคสต์และอาร์ตเวิร์คที่ฝังอยู่ในหน้านี้มาจาก PCEA ซึ่งเป็นทรัพย์สินของเจ้าของและไม่มีส่วนเกี่ยวข้องหรือรับรองโดย Listen Notes, Inc.
