
Doğru Cevap, Yanlış Soru | Defne İncekara | TEDxOSTİMTech
Audio Summary
AI Summary
The speaker begins by introducing their AI assistant, "Viktor," named after translating their wife's name, Muzaffer, which means "Victor." Viktor works 24/7, handles chores, writes articles, answers emails, manages calendars, and creates presentations. The speaker initially consulted Viktor for their TED talk, but found the output lacked personal emotion and decided to write it themselves, focusing on how one training changed their life.
Having worked for 25 years in global technology and consulting, the speaker had a fulfilling corporate career and wasn't looking for a change until they enrolled in an AI training program. During this program, they observed the excitement, fear, and uncertainty people felt about AI, even though it wasn't new to them. Recognizing that AI represented a new revolution, comparable to the industrial revolution, the speaker decided to become a leader in this change rather than just an observer. In May 2025, they left their corporate career to provide AI training and consulting to companies.
The rapid adoption of AI tools like Chat GBT, which reached 100 million active users in two months, raised a crucial question for the speaker: are people asking the right questions and receiving the correct answers? While AI provides convincing and high-quality answers, the speaker emphasizes the importance of asking the *right* question.
They illustrate this with an example often used in training: their "digital army" of 10 AI agents. When asked which tools to use, the speaker stresses that the tools themselves are not as important as defining the problem. The goal is to find the most suitable tool for a specific problem, as one tool doesn't fit all.
Another historical example is the Wright brothers. Before 1903, the prevailing belief and scientific literature stated that humans could not fly. If the Wright brothers had consulted an AI model trained on all available literature at the time, the answer would likely have been that humans cannot fly. However, the Wright brothers asked a different question: "Why haven't humans managed to fly yet?" By changing the question, they opened the door to a different answer and ultimately achieved flight. This highlights the critical need to ask the right questions when using AI.
The speaker notes that while everyone uses similar AI tools like Chat GBT, Gemini, and Cloud, some users get much better answers due to the quality of their input, specifically asking the right questions and providing the correct context. This is what the speaker refers to as "prompt engineering" or "context engineering." The ability to clearly express what one wants is a rare but crucial skill. The speaker advises explaining the human side and one's desires before using any AI tool, as this human element is what differentiates results.
The second crucial aspect is "exit judgment." After using AI tools, users should not blindly accept the results but question them. Human experience, ethical values, and the ability to iterate are vital because AI, being based on collected information, will never possess these feelings. The human element is what makes the difference in using AI effectively.
The speaker, a mother of two, emphasizes teaching children "how to ask questions" and "how to learn," rather than just coding. AI excels at data analysis, statistics, and coding (currently writing 50% of the world's code), so the focus should shift to teaching children *what* to do, not *how* to do it.
The speaker holds an optimistic view of AI, believing it simplifies life when used correctly. However, humans remain at the root of the equation; AI reflects the mirror given to it by humans. Therefore, before blaming AI for biases or incorrect outputs, one must examine the human-provided strategy, vision, empathy, context, and goals. When used correctly, AI becomes a powerful tool that automates routine, low-value tasks, freeing up human time to focus on conveying messages and making a greater difference.
The speaker notes that AI has increased their questioning and critical thinking by offering different perspectives and even refuting their ideas. The ability to learn how to learn is paramount, as information is ubiquitous. The most important skills to teach children are how to ask questions and how to learn.
Ultimately, humans make the decisions. Empathy, context, ethical control, verification, and final touches are all human responsibilities. AI should be used as a tool, not an objective. The speaker highlights a shift from IQ (intelligence) to EQ (emotional intelligence) and now to a new "curiosity coefficient" (AQ), encompassing curiosity, imagination, pattern recognition, and exploration. While AI surpasses human IQ and may mimic EQ, it cannot replicate human curiosity, which remains our unique and enduring competence.
In conclusion, the speaker urges individuals not to relinquish their right to ask questions to AI. AI can be a thought partner, assisting with research and analysis, but the initial questioning and critical thinking must come from humans. The speaker asserts that "it's not those who get the best answers who make the real difference, but those who ask the bravest questions." The goal is to teach people how to be human, so that AI can serve humanity's good.