As IA evolves, a big issue is accountability. As humans may work alongside AI, IA can also make mistakes, even if those mistakes are smaller than humans. I have attached several conversations of mine, Jorge Guerra Pires, PhD, on the topic. When possible, mention the name of the other person. I am concerned about AI in medicine, models in medicine, but certainly we have issues, like accountability. We have also opportunities: models are better than humans in several points, such as information integration, big data processing faster and and more.

Sources:
https://www.youtube.com/watch?v=Qt77BVJNCAs&t=17s
https://www.youtube.com/watch?v=DOL_QZoi7IY&t=122s
https://www.youtube.com/watch?v=bDtCeofcBOk
https://www.youtube.com/watch?v=Gqjd_gJ13n8&t=7s
https://medium.com/computational-thinking-how-computers-think-decide/could-chatgpt-play-a-medical-doctor-8dfcd8c95538
 

These sources explore the intersection of artificial intelligence, specifically ChatGPT, and the field of medicine. They discuss ChatGPT's capabilities, including its ability to perform well on medical exams and generate human-like responses, and consider whether it could serve as a companion or even a replacement for medical doctors. The texts also raise important ethical questions regarding the responsibility for errors when AI is used in medical decision-making and highlight the potential of AI to improve mathematical modeling in biology and make it more accessible. The authors emphasize the need for further discussion and research on the integration of AI into healthcare and scientific practice.

These texts, authored by Jorge Guerra Pires, PhD, explore the realm of computational thinking and artificial intelligence, particularly focusing on neural networks and large language models like ChatGPT. Pires examines the potential applications of AI in fields such as medicine and music, discussing both the capabilities and limitations of current AI models compared to human intelligence. He highlights the historical development of computational approaches to problem-solving, from manual calculations to complex algorithms, and emphasizes the growing importance of making complex scientific concepts accessible to a wider audience. The author also touches on the broader societal implications of increasing automation and the need to focus on uniquely human skills in the face of advancing AI.

From my blog: Computational Thinking

We are going to talk about computational thinking.

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Computational Thinking: How computers think, decide and learn, when human limits start and computers champ, vol. 1

There was a time when science fiction on television dared to be philosophical. It wasn’t just about gadgets or space battles, but about ideas. In the early 1980s, a prime-time series called Knight Rider offered something deceptively simple: a man and his car, fighting injustice. But this wasn’t any car. KITT (Knight Industries Two Thousand) was a super-intelligent, self-aware vehicle equipped with advanced AI. What appeared on the surface as a flashy action show was, in fact, an exploration of human-machine relationships, ethics, and trust.

Learn mais: Knight Rider and the Car That Thought: Sci-Fi, AI, and the Lost Art of Remakes

Buy my book on Amazon: I by Sci fi: let’s talk about artificial intelligence and watch Netflix!

There was a time when science fiction on television dared to be philosophical. It wasn’t just about gadgets or space battles, but about ideas. In the early 1980s, a prime-time series called Knight Rider offered something deceptively simple: a man and his car, fighting injustice. But this wasn’t any car. KITT (Knight Industries Two Thousand) was a super-intelligent, self-aware vehicle equipped with advanced AI. What appeared on the surface as a flashy action show was, in fact, an exploration of human-machine relationships, ethics, and trust.

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Book on Amazon.

House is a very interesting character. Essentially, he can from symptoms, most of the time before real-diagnosis is done, using tests, figure out what is wrong with the patient. Would that be real? I have the feeling that no, and here goes my argumentation. As I see it, no one can see how he can see.

Read more: Dr House is an algorithm

Book: AI by Sci fi: let’s talk about artificial intelligence and watch Netflix!

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🤖🤖We are concerned on how computers think, and it can be applied to the human-decision process. How we can create intelligent systems to make our professional lives better, more efficient, less biased and noisy. Our topics may range broadly, 🤖🤖

Learn more: https://medium.com/computational-thinking-how-computers-think-decide

We are going to talk about super-brains! 

Book: Computational Thinking: How computers think, decide and learn, when human limits start and computers champ, vol. 1

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🤖🤖We are concerned on how computers think, and it can be applied to the human-decision process. How we can create intelligent systems to make our professional lives better, more efficient, less biased and noisy. Our topics may range broadly, 🤖🤖

Computational Thinking | Blog

Some people say that movies like terminator create a bad reputation for AI. I have a different opinion, even though I used to agree with this one: it could give rise to interesting discussions. Of course, here I am considering people that actually want to learn what is real vs. what is fiction. I believe fiction can be important for scientists.

Why you should not fear the terminator

Book!

AI by Sci fi: let’s talk about artificial intelligence and watch Netflix!

=

🤖🤖We are concerned on how computers think, and it can be applied to the human-decision process. How we can create intelligent systems to make our professional lives better, more efficient, less biased and noisy. Our topics may range broadly, 🤖🤖

Learn more: https://medium.com/computational-thinking-how-computers-think-decide