AFA 2026 • Inglês • Questão 39

AFA
Questão 39 · Comentada
CFO · 2026 · Inglês
Academia da Força Aérea

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📘 TEXT COMPREHENSION
🔐 Abrir TEXTO DE APOIO (material-base da questão)
📌 Directions: Read text II and answer questions 37 to 40.
AI won’t take your job if you know about IA
Intelligence augmentation shows that human + AI is an ideal partnership – and the future of white-collar work

The less exciting but more likely reality is that the changes AI brings to the workplace will entail upskilling — when workers learn new skills — not reskilling or complete replacement. And upskilling is not about surrendering to AI but instead about mastering intelligence augmentation, or IA, which is what happens when humans and AI work together to accomplish more as a team than either could flying solo. That collaboration is based on the distinction between two concepts: reckoning and judgment.

Reckoning vs. Judgment

A critical difference between AI and humans is our primary mode of operation. AI operates through what is often referred to as “reckoning,” such as calculative prediction. By that, we mean AI’s true capabilities are grounded in facts and historical knowledge - data that can be calculated, memorized, and repeated. It makes predictions based on what it knows.

By contrast, humans operate through judgment or practical wisdom. We understand things AI can’t possibly know. That’s because we humans have lived experiences that continually inform how we see the world. It’s the intangible factors, like ethical considerations and empathetic responses, that make humans better equipped than AI to make complex decisions about human affairs.

This practical wisdom is one reason humans must keep creating new things for IA to advance. Imagine what would happen if humans stopped writing original content. The current model of AI could never pass a certain point because it would never encounter new, innovative ideas. Eventually, AI would run out of new ideas to share, and our collective knowledge would stagnate. AI is like moonlight; its ideas come from the reflected sunlight of human insights.

Now, it’s essential to recognize that this contrast between AI and humans is nothing to fear. Instead, it shows us why “human + AI” is an ideal work partnership. AI can perform massive calculations in the blink of an eye at a pace far superior to even the most intelligent human on the planet. When paired with a human capable of making quick decisions based on lived experience, judgment, and practical wisdom, it’s an immensely more powerful tool than it is on its own.

🔗 Texto adaptado. Adapted from MCCOOL, Chris Dede and David. AI Won’t Take Your Job if You Know About IA. Harvard Graduate School of Education. Available on: https://www.gse.harvard.edu/ideas/news/24/02/ai-wont-take-your-job-ifyou-know-about-ai. Accessed on March 10 th, 2025.
📘 QUESTION
39

QUESTÃO

According to the text, the key gap between machine process of information and human insight is that the former

A

and the latter think alike but at a different pace.

B

surpasses people in most abilities at a high speed.

C

makes up fresh ideas, whilst people recall past events.

D

computes patterns, whereas people weigh context and morals.

📘 ANSWER KEY
🔐 Abrir GABARITO
Gabarito:
D
📘 DETAILED SOLUTION
🔐 Abrir QUESTÃO COMENTADA (leitura guiada + pegadinhas)
🧠 Q.39 | Língua Inglesa | Padrão B3GE™ |

🧭 Leitura orientada

A questão avalia a compreensão comparativa entre o funcionamento da inteligência artificial e o raciocínio humano, conforme explicado no texto.

🔍 Análise do contraste central

O texto estabelece uma distinção clara entre:

reckoning (IA): cálculo, previsão, repetição de dados;
judgment (humanos): sabedoria prática, experiência vivida, ética e empatia.

Enquanto a IA opera com base em padrões calculáveis, os humanos consideram contexto, valores morais e fatores intangíveis ao tomar decisões.

🧠 Núcleo de sentido

✔ IA = processamento de padrões e dados históricos.
✔ Humanos = julgamento contextual e ético.
✔ A diferença não é velocidade apenas, mas natureza do raciocínio.

🔍 Análise alternativa por alternativa (com pegadinhas)

(A) ❌ Errada
Pegadinha: o texto afirma que os modos de pensar são qualitativamente diferentes, não apenas mais lentos ou rápidos.


(B) ❌ Errada
Pegadinha: embora a IA seja mais rápida em cálculos, isso não define o “gap” central discutido.


(C) ❌ Errada
Pegadinha: o texto diz que a IA não cria ideias novas, apenas reflete conhecimento humano prévio.


(D) ✅ Correta — GABARITO
A alternativa resume corretamente o argumento do texto: a máquina computa padrões, enquanto os humanos avaliam contexto e moralidade.


🧠 Resumo B3GE™ Master

✔ Questão de leitura comparativa.
✔ Distinção-chave: reckoning vs. judgment.
✔ IA processa dados; humanos interpretam contextos éticos.
✔ Parceria humano + IA é defendida no texto.

🔎 Gabarito confirmado: (D)