“But with the advent of social media, says Ethan Kross, professor of psychology at the University of Michigan who studies the impact of Facebook on our wellbeing, ‘envy is being taken to an extreme’. We are constantly bombarded by ‘Photoshopped lives’, he says, ‘and that exerts a toll on us the likes of which we have never experienced in the history of our species. And it is not particularly pleasant.’”
We lie to ourselves to protect our self-images, which allows us to act immorally while maintaining a clear conscience. According to the very latest research, self-deception may have even evolved to help us to persuade others; if we start believing our own lies, it’s much easier to get other people to believe them, too.
“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%.”
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.
