Bad Robots and Medical Research - Debate!

Hi!

Hate it? Then DEBATE IT!

In this episode Kanji and Alex debate the merits, pitfalls and capabilities of AI as it relates to an article about the use of AE in the medical field.

A recent wave of concern surrounding AI-generated information reminds us that verification remains indispensable. This was made evident in the critique of a piece suggesting AI, particularly ChatGPT, could pose dangers in the medical domain. To Alex, this article seemed to be viewed through a narrow lens, tinged with bias, and provided good fodder for Kanji to poke the bear.

We discuss bias, a recurrent theme in our discourse, and how it isn't just limited to AI. The impact of technological bias is felt deeply in our digital engagements, especially search results and social media. As AI enthusiasts, advocates, and professionals, we should be tasked with and responsible for understanding the ethical implications of our tools. And education to all demographics utilizing this tech seems to be the compass directing us toward responsible and meaningful usage.

We talk about misinformation and the dangers of malpractice, echo-chambers and miseducation, as well as future developments that should be implemented in the development of ethical and responsible artificial intelligence. Included in the near term developments discussed are google’s advancement in developing knowledgable, multi-faceted analytical approaches that produce results with higher accuracy and more reliable results. Additionally, we discuss capabilities to provide a desired end result request and having AI connect all the dots.

We also warn that with advancement of capabilities comes the growth and severity of dangerous implications that can result from the misuse and misunderstanding of AI (i.e. the dangers of a knife vs. a chainsaw). Our role, then, is not just to be passive users but informed consumers, constantly learning and adapting in this dynamic digital era.

Measure twice and cut once everyone and…

Stay curious!

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