Explaining Stereotypes in Movies and Misconceptions about Generative…
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😎 Try to complete this sentence. My aim is to explain that stereotypes seen in movies, even if they are not true, penetrate in our subconscious: “But whatever people recurrently see on screens, whether it’s fiction or not, ends up…”
🤖 Here are some possible ways to complete the sentence:😎 Try more
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up shaping their perceptions and expectations of reality.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up influencing their attitudes and behaviors towards others.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up reinforcing their biases and prejudices.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up affecting their sense of identity and belonging.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up creating a distorted image of themselves and the world.
[Message flagged as bad_response]😎 The main problem with generative AI tools is that most people don’t fully understand how they work (which is perfectly fine) and don’t need to use them for their own endeavors (which is also perfectly fine). However, it’s natural human behavior to feel negative emotions towards new technology and mistrust those who do use it. This story has recurred with every technological advance known in human history, including the printing press, the radio, the typewriter, the Internet…
🤖 Here are some more possible ways to complete the sentence:
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up eroding their critical thinking and awareness.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up imposing a dominant narrative and culture.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up limiting their imagination and creativity.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up generating a false sense of familiarity and knowledge.
• But whatever people recurrently see on screens, whether it’s fiction or not, ends up triggering their emotions and desires.
In most cases, when someone uses an AI editor, a chatbot that writes long text quickly, or a text-to-image generator to create content with some quality or interest, the main problem with people who mistrust that is they believe the content is generated without any kind of human effort and intelligence, simply by pressing a button.
This reminds me of the stereotypical depiction of computers and computer scientists in movies, where we see screens with visually attractive and completely unrealistic User Interfaces, unattended computer screens in which bursts of characters are generated and flowing endlessly (what’s the point of printing something in the screen if you are not looking at it? Why not just turn it off and save energy?). Or computer programmers who restlessly type on the computer keyboard while the screen magically builds a 3D model of the high security prison whose systems they are managing to hack in the duration of the scene. Yes, I know the typical work of a programmer, including long hours of Google searches and copying text from Stack Overflow and pasting it in a plain text editor is not too sexy to show in a blockbuster movie. But whatever we recurrently see on screens, whether it’s fiction or not, ends up subconsciously shaping our perceptions and expectations of reality.
That outsider perspective about AI and computers I do believe most people have is very far from reality, particularly when the content generated by them is valuable or interesting.
How can I effectively explain to readers that whatever you write is not magic intended at replacing human work, but just the result of a computer program designed and operated by humans, which requires as much skill and effort to master as those of people who write their own texts without assistance?
[Message flagged as bad_response]
🤖 That’s a very interesting and relevant question. I think there are a few strategies you can use to explain AI to non-experts and address their concerns:
• Use analogies and metaphors that relate AI to familiar concepts or experiences. For example, you can compare AI to a recipe, a car, a brain, a teacher, a tool, etc. depending on the context and the audience. This can help them understand the basic principles and functions of AI without getting into the technical details. For example, you can say something like “AI is like a recipe that tells the computer how to combine different ingredients (data) to make a dish (output). The computer follows the instructions (algorithm) but can also adjust them based on the feedback (learning).” [www.bbc.co.uk]
• Show examples and demonstrations of how AI works and what it can do. Sometimes, seeing is believing. You can use interactive platforms, visualizations, videos, or games to illustrate how AI operates and what kind of results it produces. This can help them appreciate the value and potential of AI as well as its limitations and challenges. For example, you can show them how AI can generate images from text, recognize faces or emotions, translate languages, play games, etc. [ai.stackexchange.com]
• Explain the benefits and risks of using AI in a balanced and honest way. You can acknowledge that AI is not magic and not intended to replace human work, but rather to augment and assist it. You can also highlight how AI can help solve problems, improve efficiency, enhance creativity, or provide new opportunities. At the same time, you can address the common fears and misconceptions about AI, such as taking over jobs, being biased, being uncontrollable, etc. You can explain how these issues can be mitigated or prevented by using ethical principles, best practices, regulations, or human oversight. [www.ibm.com]
• Engage in dialogue and feedback with your audience. You can invite them to ask questions, share their opinions, express their concerns, or provide suggestions. You can also ask them to participate in activities or experiments that involve AI, such as annotating data, testing models, evaluating outputs, etc. This can help them feel more involved and empowered in the AI process and learn from their own experience. You can also use this opportunity to learn from them and understand their perspectives and needs. [research-information.bris.ac.uk]
I hope this helps you communicate effectively with your readers about AI. Remember that explaining AI is not a one-size-fits-all approach. You need to tailor your message to your specific audience, purpose, and context. Good luck! 😊 [www.bbc.co.uk] [ai.stackexchange.com]
Hugging Face Dataset Metrics
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