ai artwork
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Teach AI to Work Like a Member of Your Team
“And here’s where the real opportunity emerged: The work graph—which included two months of activity that was vetted and context-rich—could then be used to train the AI tool. Because it captured everything the team deemed important, it provided the AI tool with real-time, human-validated context, which enabled the tool begin working in a way that aligned with how the team actually worked. With this input, the AI tool was able to produce a significantly more complete first draft, reducing iterations and accelerating the path to a final, usable contract. This approach cut the team’s manual effort in drafting each contract by more than half. While they still reviewed and verified the AI-generated output, they required far fewer iterations and much less rework. As a result, the team’s overall throughput in generating contracts increased by nearly 30%.”
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Ai Content Disclosure Reasons
People are often encouraged—or even required—to state that an article, statement, or artwork was made by AI for reasons of transparency, ethics, and trust. Here are the main reasons:
- Transparency and Honesty: It helps readers or viewers understand who—or what—created the content. This prevents misleading audiences into thinking a human wrote or created something when it was generated by a machine.
- Accountability: When AI is involved, it’s important to clarify who is responsible for the output. This is especially true in areas like journalism, academic writing, or legal and medical information, where credibility matters.
- Informed Interpretation: Knowing that a piece was generated by AI can change how someone interprets it. For example, an AI-written poem may not carry the same emotional or autobiographical weight as one by a human.
- Ethical Considerations: Many industries are working to prevent misuse of AI-generated content (e.g., deepfakes, fake news). Disclosing AI authorship helps fight misinformation and supports ethical use of technology.
- Attribution and Intellectual Property: Clarifying the role of AI in a work can help with determining authorship rights and how a work can legally be used or sold.
By ChatGPT
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How Ai works
AI, or artificial intelligence, works by using computer systems to simulate human-like thinking. Here’s a simple breakdown:
1. Learning from Data (Machine Learning)
AI learns patterns from large amounts of data. For example:
- If you feed it lots of pictures of cats and dogs, it learns what features make a cat or a dog.
- This process is called training a model.
2. Neural Networks
A common type of AI uses neural networks, inspired by the human brain.
- It has layers of artificial “neurons” that process information.
- Each layer extracts more complex features from the input (like shapes, colors, or sounds).
3. Decision Making
After training, the AI can:
- Recognize images (e.g. face recognition)
- Understand speech (e.g. virtual assistants)
- Predict outcomes (e.g. stock price trends)
- Generate content (like writing, art, or music)
4. Feedback & Improvement
AI can improve with more data and feedback—this is called reinforcement learning or fine-tuning.
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“When bankers get together for dinner, they discuss art. When artists get together for dinner, they discuss money.”
— Oscar Wilde
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Hayao Miyazaki’s thoughts on an artificial intelligence
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“The man who has no imagination has no wings.”
— Muhammad Ali