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Question 29 - D-GAI-F-01 discussion

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What are common misconceptions people have about Al? (Select two)

A.
Al can think like humans.
Answers
A.
Al can think like humans.
B.
Al can produce biased results.
Answers
B.
Al can produce biased results.
C.
Al can learn from mistakes.
Answers
C.
Al can learn from mistakes.
D.
Al is not prone to generate errors.
Answers
D.
Al is not prone to generate errors.
Suggested answer: A

Explanation:

There are several common misconceptions about AI. Here are two of the most prevalent:

Misconception: AI can think like humans.

Reality: AI lacks consciousness, emotions, and subjective experiences. It processes information syntactically rather than semantically, meaning it does not understand content in the way humans do.

Reality: AI systems can and do make errors, often due to biases in training data, limitations in algorithms, or unexpected inputs. Errors can also arise from overfitting, underfitting, or adversarial attacks.

Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. Pearson.

Tegmark, M. (2017). Life 3.0: Being Human in the Age of Artificial Intelligence. Knopf.

Misconception: AI is not prone to generate errors.

Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. MIT Press.

Barocas, S., Hardt, M., & Narayanan, A. (2019). Fairness and Machine Learning. fairmlbook.org.

asked 16/09/2024
Mauricio de Souza Penhalver Hollanda
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