1 hr 7 min
AI and UX Research The YouX Podcast
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- Technology
In 1965, Herbert Simon predicted that "machines will be capable, within twenty years, of performing tasks that a man can do." Similarly, in 1970, Marvin Minsky was quoted saying, "within a generation, the problem of creating 'artificial intelligence' will largely be solved." These two men were pioneering AI researchers and are widely regarded as founding fathers of the field. However, these predictions turned out to be shortsighted and overly optimistic.
Recently, AI research and companies have made tremendously interesting advancements, introducing brand new products and tools that are categorically different from anything seen before. Are we on the cusp of something radically new about how humans work and live?
In this episode of YouX, the hosts delve into AI and its implications for the practice of UX research. Each host offers a unique perspective, sparking a spirited and engaging debate. The core question that they begin with is whether AI, in its current form, can replicate the functions of UX researchers, and if the field should be concerned about ChatGPT taking their jobs.
The discussion begins with the hosts defining UX research and AI. Chris, refusing to mince words, strongly asserts that AI, particularly the current iteration of Large Language Models (LLMs), cannot conduct primary research (produce novel knowledge) like a trained professional. Mustafa takes a more techno-optimistic stance, arguing that with minimal human input and sophisticated automation, many types of primary research are within AI's reach, even today. Chris counters by arguing that, by virtue of what LLMs are, they cannot collect or interpret data as humans do. He points out that they lack, and cannot be programmed to have, the motivations or desires a human researcher possesses to explore a topic or question—elements that often initiate research projects. Furthermore, Chris argues, LLMs cannot model or manipulate the world as humans do when seeking answers to unknowns and producing novel answers. Mustafa, unperturbed by Chris's arguments, believes that with sufficient development and the right kind of prompts, these systems could match the capabilities of run-of-the-mill researchers and designers.
It's evident that this is just the beginning of broader and deeper conversations, as AI continues to evolve and become increasingly relevant in various aspects of life and work. We are witnessing the dawn of a new era in technology and industry, so join us for what is sure to be the first of many episodes of YouX that will discuss AI and its far-reaching implications for the world of UX and beyond.
Find Chris:
christopher-s-kovel-660029a6
www.chriskovel.com
Find Mustafa:
mustafazubairahmed
Muzzy the Researcher:
mustafazubairahmed
Sources:
https://web.eecs.umich.edu/~kuipers/o...
https://www.datacamp.com/cheat-sheet/...
In 1965, Herbert Simon predicted that "machines will be capable, within twenty years, of performing tasks that a man can do." Similarly, in 1970, Marvin Minsky was quoted saying, "within a generation, the problem of creating 'artificial intelligence' will largely be solved." These two men were pioneering AI researchers and are widely regarded as founding fathers of the field. However, these predictions turned out to be shortsighted and overly optimistic.
Recently, AI research and companies have made tremendously interesting advancements, introducing brand new products and tools that are categorically different from anything seen before. Are we on the cusp of something radically new about how humans work and live?
In this episode of YouX, the hosts delve into AI and its implications for the practice of UX research. Each host offers a unique perspective, sparking a spirited and engaging debate. The core question that they begin with is whether AI, in its current form, can replicate the functions of UX researchers, and if the field should be concerned about ChatGPT taking their jobs.
The discussion begins with the hosts defining UX research and AI. Chris, refusing to mince words, strongly asserts that AI, particularly the current iteration of Large Language Models (LLMs), cannot conduct primary research (produce novel knowledge) like a trained professional. Mustafa takes a more techno-optimistic stance, arguing that with minimal human input and sophisticated automation, many types of primary research are within AI's reach, even today. Chris counters by arguing that, by virtue of what LLMs are, they cannot collect or interpret data as humans do. He points out that they lack, and cannot be programmed to have, the motivations or desires a human researcher possesses to explore a topic or question—elements that often initiate research projects. Furthermore, Chris argues, LLMs cannot model or manipulate the world as humans do when seeking answers to unknowns and producing novel answers. Mustafa, unperturbed by Chris's arguments, believes that with sufficient development and the right kind of prompts, these systems could match the capabilities of run-of-the-mill researchers and designers.
It's evident that this is just the beginning of broader and deeper conversations, as AI continues to evolve and become increasingly relevant in various aspects of life and work. We are witnessing the dawn of a new era in technology and industry, so join us for what is sure to be the first of many episodes of YouX that will discuss AI and its far-reaching implications for the world of UX and beyond.
Find Chris:
christopher-s-kovel-660029a6
www.chriskovel.com
Find Mustafa:
mustafazubairahmed
Muzzy the Researcher:
mustafazubairahmed
Sources:
https://web.eecs.umich.edu/~kuipers/o...
https://www.datacamp.com/cheat-sheet/...
1 hr 7 min