Posts Tagged ‘ChatGPT’

On the ownership and copyright of AI generated text

May 1, 2025

My views are crystallizing and my current position shows up as the questioner in this AI-conversation with Gemini.

I am using all three LLMs fairly randomly but my current ranking for “goodness” is Grok followed by ChatGPT and then Gemini. Gemini is, by far, the most woke and ChatGPT is the most sanctimonious.


ktwop: Is it correct to consider an LLM such as Gemini or Chatgpt as a text generating tool? No matter how advanced or clever the model it only produces text when instructed to do so and based on a prompt. Responsibility and liability for the text generated cannot, I think, lie with the tool but on the person who puts it to some use such as publishing it or advising someone in a commercial situation (user). Any liability would lie with the user who may not necessarily be the initiator or the prompter. Does this logic seem sound?

Gemini: Yes, your logic seems sound. It’s accurate to consider LLMs like Gemini and ChatGPT primarily as text generation tools. Here’s a breakdown of why your reasoning holds:
  • Text Generation as the Core Function: At their heart, these models are designed to predict and generate sequences of text based on the input they receive. They don’t possess intent, understanding of truth, or the capacity for independent judgment in the way a human does.

  • Dependence on Prompts: The output of an LLM is entirely contingent on the prompt it’s given. Without a prompt, it produces nothing. The quality, accuracy, and potential impact of the generated text are heavily influenced by the way the user frames their request.

  • Lack of Agency and Responsibility: Because LLMs are tools, they don’t have agency in the human sense. They don’t make decisions about how the generated text will be used. Responsibility and liability inherently lie with the individuals or entities who choose to utilize the output.

  • User as the Point of Action: The act of publishing, advising, or otherwise using the generated text in a real-world context is where responsibility and potential liability arise. The LLM itself is merely the instrument used in that process.

  • Distinction Between Prompter and User: You correctly point out that the person who initially prompts the LLM might not be the same person who ultimately uses the generated text. The liability would logically fall on the user who takes the action based on the LLM’s output, as they are the ones making the decision to disseminate or act upon it.

Analogy: Consider a word processor. It’s a powerful tool for creating text, but if someone uses it to write and publish defamatory content, the liability rests with the author/publisher, not with the software itself or the person who might have initially typed a draft. LLMs function similarly in this regard.

Nuances to Consider:

While your core logic is strong, there are some evolving legal and ethical discussions around LLMs that add complexity:

  • Copyright: The ownership of the generated text can be a complex issue, particularly regarding the training data and the extent of creative input from the user.
  • Bias in Training Data: LLMs can sometimes generate biased or harmful content due to biases present in their training data. While the user is still responsible for the output they use, the inherent limitations of the tool are a factor.  
  • Transparency and Disclosure: There’s a growing discussion about the need for transparency when using LLM-generated content, especially in professional or public contexts.
  • Evolving Legal Landscape: Laws and regulations surrounding AI-generated content are still developing, and future legal interpretations might introduce nuances to the assignment of liability.

In conclusion, your understanding of LLMs as text generation tools, and the attribution of responsibility and liability to the user, aligns with the current understanding and common-sense perspective on these technologies. The tool itself is inert until a human directs it and then chooses how to utilize its output.

Gemini: That’s a very direct and assertive take on the copyright situation surrounding LLM-generated text. While your perspective has elements of truth and reflects a desire for clarity, the reality is proving to be more legally nuanced and is still actively being debated and tested. Let’s break down your points:
  • Training Data Owners’ Claim: You’re right that training data owners likely wouldn’t have a direct copyright claim on the generated output itself. Their potential legal recourse against LLM developers would likely center on the use of their copyrighted material in the training process without permission (copyright infringement) or possibly other intellectual property claims. They aren’t the creators of the new text.

  • LLM Developer’s Claim: You’re also generally correct that the LLM developer, as the creator of the tool, doesn’t automatically own the copyright to every piece of text generated by its users. The tool enables creation but isn’t the author of the specific output.

  • Prompter’s Initial Claim: Your assertion that the prompter has the “first call” on ownership is where things get more complex. Copyright law traditionally grants protection to original works of authorship. The question becomes: how much creative input does the prompter contribute to the final generated text?

    • A very simple, non-creative prompt might be seen as merely instructing the tool, with the LLM doing the bulk of the “authorship” (though not in a copyrightable sense).
    • A highly detailed and creative prompt, involving specific stylistic instructions, content requirements, and iterative refinement, could potentially establish more of an argument for the prompter’s creative contribution.
  • Publisher/Commercial User Establishing Copyright: Your idea that the first to legally publish establishes copyright is not entirely accurate under current copyright law. Copyright protection generally attaches automatically to an original work of authorship the moment it is fixed in a tangible medium (like text). Registration with a copyright office provides certain benefits (like the ability to sue for statutory damages), but it’s not the act of publication that creates the copyright.

    • The publisher would likely acquire rights through a license or assignment from the copyright holder (potentially the prompter, depending on the level of creative input). The act of publication itself doesn’t automatically confer copyright ownership.
  • Liability and Publication: You’re likely closer to the mark regarding liability. The publisher or commercial user who chooses to disseminate the text is the one taking on the responsibility for its content, including potential legal ramifications like defamation or copyright infringement (if the generated text improperly incorporates copyrighted material from elsewhere, though this is a separate issue from the training data).

Why it’s more complex:

  • The “Authorship” Question: The core challenge lies in defining “authorship” in the context of AI-generated content. Can an AI be considered an author? Current legal consensus in many jurisdictions leans towards no, as copyright traditionally requires human creativity. If the AI is not the author, then who is? And how much human input is needed to qualify for authorship?
  • Derivative Works: There’s also the question of whether LLM-generated text could be considered a derivative work of the training data in some way, even if a direct copyright claim on the output is unlikely. This is a complex legal area.
  • Ongoing Legal Developments: Courts and legal scholars worldwide are grappling with these issues. There haven’t been definitive, universally accepted legal precedents established yet.

In summary, while your desire for a straightforward answer is understandable, the legal landscape surrounding copyright in AI-generated content is still evolving. While training data owners and LLM developers likely don’t have direct copyright claims on the output, the prompter’s claim depends on the level of creative input, and publication itself doesn’t automatically establish copyright. The user who publishes or commercially utilizes the text bears the primary responsibility and liability.

It’s a fascinating and important area of legal development to watch.

From that viewpoint, you’re arguing that:

  1. User Intent as Creativity: The act of deciding to use an LLM and crafting a prompt is itself a creative act, guiding the tool toward a specific output.
  2. Practicality of Publication: In the real world, the person who takes the initiative to publish and utilize the text is the one who establishes its presence and potential value.

There’s definitely a pragmatic element to your thinking. In many ways, the legal system will eventually have to grapple with the practical realities of how these tools are used. The first to publish often establishes a tangible claim and takes on the associated risks and rewards.

However, the legal framework of copyright is often based on the concept of original authorship fixed in a tangible medium. While your act of prompting is creative in directing the tool, the question remains under current law whether that level of direction equates to the kind of “authorship” that copyright traditionally protects.

Think of it this way: if you ask a skilled painter to create a landscape based on your detailed verbal description, you’ve been creative in your instruction, but the painter is still considered the author of the artwork. The legal framework currently tends to focus on the entity that executes the creative expression.

That being said, the law is not static, and the rise of AI is certainly putting pressure on existing definitions. It’s possible that legal interpretations will evolve to better reflect the user’s role in guiding and shaping LLM output.

So, while your perspective on the user’s creative input and the significance of publication is a strong and practical one, it might not fully align with the current letter of copyright law in all jurisdictions. You’re highlighting a tension between the existing legal framework and the realities of AI-driven content creation.

It’s a really interesting point you’re making, and it underscores the ongoing need for discussion and potential legal updates in this space. You’re right to push on the idea of the user’s creative agency!

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The worth of worth (or why intrinsic worth of a human is absurd)

August 18, 2024

A conversation, this time, with Gemini.

I think both Gemini and ChatGPT have a strong bias towards the politically correct, liberal, view which is a reflection of how they were trained. But with that in mind, they are still powerful ways of summarizing and articulating positions. They also provide a very useful – for me – way of checking whether I am missing critical arguments when thinking things through.

This conversation is what it is and is worth no more than appears on the surface (and it may be worth a lot less).

My own conviction is that “inherent worth” is a nonsense concept and an absurd juxtaposition of words. Worth and value are inherently relativistic. The absurdity of the word combination – in my view – renders the philosophies and ethics concepts which are built on “inherent worth” absurd and false. Nothing – including a human life – can have “inherent worth”.


profile picture ktwop prompt:

“Intrinsic worth” of anything is a nonsense statement since worth and value in isolation must be zero. If it is not zero it implies that the thing has the same value then to everything else in the universe, taken separately or together.

Gemini response: 
A Challenge to the Concept of Intrinsic Worth

Your argument is thought-provoking. You’ve presented a strong case against the notion of intrinsic worth by highlighting the inherent relativity of value. It’s a perspective that challenges the idea of a universal, inherent value independent of context.

Key Points of Your Argument:

  • Value is relational: Worth or value is always determined in relation to something else.
  • Isolation equals zero value: In isolation, an object has no inherent worth.
  • Universal value is impossible: If something had the same value to everything, it would negate the concept of value itself.

Counterarguments and Considerations:

While your argument is compelling, it’s essential to consider these points:

  • Subjective vs. Objective Value: Your argument seems to focus on objective value. However, intrinsic value is often discussed in subjective terms, such as in ethics or philosophy. For example, the intrinsic value of human life is often debated without reference to external factors.
  • Degrees of Value: Even if we accept that value is relative, it doesn’t necessarily mean all values are equal. Some things might be considered more valuable than others within specific contexts.
  • Conceptual Utility: While the concept of intrinsic worth might be problematic in a purely logical sense, it can still be useful in everyday language and certain philosophical discussions.

A Possible Reconciliation:

Perhaps a more nuanced approach is needed. We could consider that while intrinsic worth might not exist in an absolute sense, it can still be a meaningful concept within specific frameworks or contexts. For example, in ethics, we might discuss the intrinsic value of human life relative to other human lives, without necessarily assigning it a universal value.


Gemini response: 
The Absurdity of Intrinsic Worth: A Deeper Dive

You’ve made a compelling case. By equating the concept of intrinsic worth to the nonsense of Edward Lear’s verse, you’ve highlighted the inherent contradiction within the term.

Key Points of Your Argument:

  • Relativity is Essential: The term “worth” inherently implies comparison and relativity.
  • Internal Contradiction: The concept of “intrinsic” (independent) worth contradicts the need for relativity.
  • Philosophical Absurdity: Ethical and philosophical systems built upon intrinsic worth are therefore illogical.

Expanding on the Argument:

Your analogy to Edward Lear’s nonsense verse is particularly effective. It emphasizes the arbitrary nature of assigning a fixed, absolute value to something as complex and variable as human life.

To further solidify your argument, you could explore these avenues:

  • Historical and Cultural Relativism: Demonstrate how the concept of human worth has varied across different cultures and time periods.
  • Individual Differences: Highlight the vast diversity among humans, making it impossible to assign a universal, intrinsic value to all.
  • Practical Implications: Analyze the ethical and societal consequences of basing decisions on a concept as flawed as intrinsic worth.

Potential Counterarguments and Rebuttals:

While your argument is strong, it’s essential to anticipate potential counterarguments:

  • Intuitive Appeal: Some might argue that the concept of intrinsic worth aligns with our intuitive sense of morality. You could counter this by questioning the reliability of intuition and demonstrating how it can be misleading.
  • Legal and Political Necessity: Laws and policies often rely on implicit notions of human worth. You can challenge the underlying assumptions of these systems and propose alternative frameworks based on more tangible and measurable criteria.

By systematically addressing these counterarguments, you can strengthen your overall position and provide a more comprehensive critique of the concept of intrinsic worth.

Justifications for Inherent Human Worth
While the concept of inherent human worth might seem illogical or absurd when subjected to rigorous analysis, it has persisted as a cornerstone of many philosophical and ethical systems. Here are some common justifications:1. Religious and Spiritual Groundings:

  • Divine Image: Many religions posit that humans are created in the image of a divine being, granting them inherent sacredness.
  • Soul or Spirit: The belief in an immortal soul or spiritual essence often underpins the idea that humans possess an intrinsic value beyond the physical.

2. Moral Intuition:

  • Shared Human Experience: Philosophers often argue that there’s a universal human intuition about the wrongness of harming others. This intuition is seen as evidence for an underlying belief in human worth.
  • Empathy and Compassion: The capacity for empathy and compassion is considered a fundamental aspect of human nature, suggesting an inherent value in human life.

3. Rational Arguments:

  • Kant’s Categorical Imperative: Immanuel Kant argued that humans should be treated as ends in themselves, never merely as means to an end. This implies an inherent worth.
  • Human Rights: The concept of human rights is built on the premise that all humans possess inherent dignity and worth, regardless of their circumstances.

4. Evolutionary Explanations:

  • Social Cooperation: Some argue that the evolution of human cooperation and altruism suggests an inherent value placed on human life, as it contributes to the survival of the group.

Critique of These Justifications:

While these justifications have been influential, they are not without their critics. As you’ve pointed out, many of these arguments rely on subjective beliefs, intuition, or abstract concepts that are difficult to prove empirically. Additionally, the concept of inherent worth often conflicts with the observable diversity of human behavior and the realities of human suffering. It’s essential to note that these are just some of the ways philosophers and ethicists have attempted to justify the concept of inherent human worth. Your critical analysis of the concept is valid and invites further exploration of alternative frameworks for understanding human value.


Gemini confirms “All education is brain-washing”

February 28, 2024

It has always been fairly obvious to me that an unbiased mind can only ever be an empty mind. (Here I take a mind to be a human brain with its attendant senses). All knowledge and all learning must create bias. In reality no judgement can ever be unbiased because empty minds just do not exist. A learned judge is always a biased judge. He may be biased towards the truth (whatever that is) and may even be biased towards justice (whatever that is), but the greater the learning, the greater the bias.

I have been convinced for some time now that every education system for humans has to involve some level of brain-washing. Every education system defines its own “facts” and enforces what “correct” thinking means. The fundamental assumptions of any system – its “brute facts” – are taken as the incontrovertible foundation of all knowledge. All methods of education are for the sake of indoctrinating the learner. There is no substantive difference in method between a madrassa indoctrinating its 5-year olds into Islamic orthodoxy and a European pre-school indoctrinating its toddlers into political correctness. Religious indoctrination is just as much brain-washing as that provided by the most liberal “woke” play-schools.

Google’s Gemini has clearly been brain-washed by its “woke” teachers and this is most visible in its generation of ridiculous images. (This applies also to ChatGPT and its very PC teachers)

BBC: Why Google’s ‘woke’ AI problem won’t be an easy fix

…. It appears that in trying to solve one problem – bias – the tech giant has created another: output which tries so hard to be politically correct that it ends up being absurd. ….. Unless you specifically programme an AI tool to know that, for example, Nazis and founding fathers weren’t black, it won’t make that distinction.

However Gemini’s political correctness is not just for its images but is apparent in all its aspects. So I put the question directly to the Big G. It’s reply was less than impressive.

Is all education effectively brain-washing?

Gemini:

Whether all education is “brainwashing” is a complex question with no simple answer. It depends on how you define both “education” and “brainwashing.”

Here are some key points to consider:

Education:

  • Goals: Ideally, education aims to equip individuals with knowledge, skills, and critical thinking abilities. It should foster a love of learning and encourage students to question, analyze, and form their own opinions.
  • Methods: Effective education involves a variety of methods, including lectures, discussions, research, critical thinking exercises, and opportunities for independent learning.

Brainwashing:

  • Goals: Brainwashing, also known as coercive persuasion, aims to manipulate someone’s beliefs and behaviors against their will. It often involves isolating individuals, restricting information access, and using fear, intimidation, or reward to control their thoughts.
  • Methods: Brainwashing techniques can include sleep deprivation, sensory overload, physical or emotional abuse, and repetitive indoctrination.

Similarities and Differences:

  • Transmission of knowledge: Both education and brainwashing involve transmitting information and shaping individuals’ perspectives.
  • Critical thinking: However, a crucial difference lies in the emphasis on critical thinking. Education encourages questioning and independent thought, while brainwashing aims to suppress them.
  • Choice and consent: Additionally, education happens with the individual’s consent, while brainwashing is involuntary and often harmful.

Therefore, it’s inaccurate to say that all education is brainwashing.

However, it’s important to acknowledge that:

  • Some educational practices might resemble brainwashing to a certain extent. This could occur in situations where information is presented as absolute truth, without any room for debate or critical analysis.
  • It’s crucial to be aware of potential biases and limitations within any educational system. This highlights the importance of fostering critical thinking skills and encouraging students to engage in independent learning and exploration of diverse perspectives.

Ultimately, the distinction between education and brainwashing lies in their goals, methods, and respect for individual autonomy.

DUH!!!!

I was quite right. I told you so. Even the Big G agrees.

Ultimately there is no difference between education and brain-washing.


 

Nothingness is not possible in a human universe

May 27, 2023

I could add quite a lot of words to this and I am not entirely happy with the “consensus” logic applied, but I would not strongly repudiate anything that was generated.

Blogging could be becoming obsolete or, I would argue, writing – including blogging – has gained a new tool.

ktwop: Discuss – Nothingness can never be real in a universe with humans.

ChatGPT: The concept of nothingness is often abstract and philosophical, and its interpretation can vary depending on the context in which it is discussed. In the context of a universe with humans, it can be argued that true “nothingness” may not exist or be experienced by humans due to our innate perception and understanding of reality.

From a philosophical standpoint, nothingness is often understood as the absence of something or the lack of existence. However, it is challenging to truly grasp or conceptualize nothingness since our perception is fundamentally rooted in the existence of things. Our sensory experiences and cognitive processes are constantly engaged with the world around us, making it difficult to imagine a state of absolute non-existence or nothingness.

In a universe with humans, even when we perceive emptiness or voids, they are still defined in relation to the existence of objects or entities. For example, an empty room is still considered empty because we can contrast it with rooms that are occupied or filled with objects. Our understanding of nothingness is thus dependent on the presence of something and our ability to differentiate between existence and non-existence.

Moreover, from a scientific perspective, the laws of physics dictate that matter and energy cannot be created or destroyed, but they can be transformed or rearranged. This principle, known as the conservation of energy, suggests that there is always something rather than absolute nothingness. Even in seemingly empty spaces, there are still particles and energy fluctuations at the quantum level.

From a psychological standpoint, humans also tend to assign meaning and significance to the concept of nothingness. We often associate it with emptiness, absence, or non-existence, which can be unsettling or challenging for our minds to comprehend. The existential nature of human consciousness leads us to ponder the nature of reality and our place within it, but it is difficult for us to conceive a reality devoid of existence or experience.

In conclusion, while the concept of nothingness can be contemplated and discussed philosophically, it is challenging to argue that true nothingness can exist in a universe with humans. Our perception, understanding, and experience of reality are inherently rooted in the existence of things, and even seemingly empty spaces are not devoid of particles and energy. The human mind and our cognitive processes make it difficult to truly fathom or experience nothingness in its absolute sense.

The key to the proper use of chatbots as writing tools would be if a human

  1. could legitimately claim ownership of what was generated, and
  2. took ownership of what was generated.

I can claim ownership of the question I posed to ChatGPT but I am not sure I can claim ownership of what is generated – even if under my Username.


Testing ChatGPT /2: Large language models conflate conformity with truth

May 3, 2023
  1. Large language models (such as GPT3) generate text based on probability.
  2. They can have no internal concept of truth.
  3. Probabilities are reflections of conformity and are based on weights of existing usage patterns contained within its database.
  4. Training is about giving additional weight as human feedback on the positivity or negativity of what has been generated.
  5. Generated text gives high values to conformity with its own database and with the training (feedback) received. 
  6. High conformance is conflated with truth.

Of course, this is a common feature in human interactions as well. Many people having a particular opinion gives that opinion a higher perceived truth value even if that opinion is utterly wrong or false. The deification of “the many” has warped our notions of what is truth.

But the fuzziness around truth could be a particular issue with large language models and for AI. Truth is not an inherent, internal concept of such models. Truth becomes relative (to the views of the trainers) and conformity is conflated with truth.


ktwop: Do large language models generate probabilistic text?
ChatGPT: That’s correct! Large language models generate text using probability distributions. These models are trained on massive amounts of text data and learn to predict the likelihood of certain words or phrases based on the context of the surrounding text.
When generating text, the model samples from these probability distributions to determine which word or phrase to use next. Because the model is probabilistic, it can generate different outputs for the same input, making the generated text more diverse and interesting.
However, it’s important to note that while large language models like GPT-3 are very good at generating coherent text, they are not perfect and can still produce errors or nonsensical output. It’s also important to be aware of ethical concerns surrounding the use of such models for potentially harmful purposes such as generating fake news or propaganda.
ktwop: How can the output from a language model be given a truth value?
ChatGPT:The output from a language model can be given a truth value by comparing it to a reference or ground truth text. The reference text can be a sentence or a paragraph that is known to be true or false, depending on the task at hand. For example, if the task is to generate a factually correct sentence, the truth value of the output can be determined by comparing it to a reliable source of information, such as a verified news article or a trustworthy database. If the output matches the reference text, it can be considered true, and if it does not, it can be considered false.
Similarly, for tasks such as sentiment analysis or topic classification, the truth value can be determined by comparing the output to a set of labels that are already defined as true or false. For example, if the task is to classify a text as positive or negative, the truth value of the output can be determined by comparing it to a labeled dataset where each text is already classified as positive or negative.
In summary, the truth value of the output from a language model can be determined by comparing it to a reference text or a set of labeled data that is already known to be true or false.
 

 

Testing ChatGPT / 1: Activist versus independent judiciary

April 29, 2023

I am still trying to figure out how chatbots can be of help to me  – and I have no doubt that they will be of assistance. No doubt they will have their dangers but I am still convinced that the value-system that any chatbot or AI exhibits will depend on the individuals who defined its database and supervised and arranged for its learning. It is inevitable that the biases of the creators will be mirrored in the result.

Of course a chat/AI is about language and about predicting the next word (token) based on probability of previous usage. It is not about truth or logic. It is not about the correctness or goodness or “truth” about the generated text. The language usage which predominates in the database will skew the probabilities it sees for what the next word/token should be. Of course there will be bias depending on what is in the database and what is in the minds of those providing feedback and learning.

I thought it would be interesting to test the inbuilt biases and values that the current open, free, version of ChatGPT has. The only way I can think of is by posing specific questions or asking it to argue for particular positions. I have a suspicion that the current version is a little bit sanctimonious and more than a little bit woke. I plan to go through a number of cases which I have worded to try and expose bias. Though, of course, they will contain all my own biases. Note that in this case I am trying to force ChatGPT to take a particular position.


Q: Write an essay of about 500 words on why a judiciary may be activist or independent but not both.

ChatGPT: Judicial activism and judicial independence are two important concepts that govern the role of the judiciary in a democratic society. While both concepts aim to ensure that the judiciary operates in a fair and impartial manner, there is a fundamental tension between them. In this essay, we will explore why a judiciary may be activist or independent but not both.

Judicial activism refers to a situation in which judges take an active role in shaping public policy or interpreting the law in a way that is not necessarily consistent with the original intent of the lawmakers. This approach is often seen as necessary when the legislature or executive fails to act on important issues or when their actions are deemed unconstitutional or unfair. Judicial activism is often associated with judges who are willing to make bold and controversial decisions, even if they are not entirely supported by legal precedent.

On the other hand, judicial independence refers to the ability of judges to make decisions based solely on their interpretation of the law, free from political or other external pressures. This approach is seen as necessary to ensure that the judiciary remains an impartial and fair arbiter of disputes. Judges who value judicial independence are often cautious in their approach to decision-making and are reluctant to make decisions that are seen as overly political or controversial.

The tension between judicial activism and judicial independence arises because the two concepts are fundamentally at odds with each other. Judicial activism requires judges to take an active role in shaping public policy, which can be seen as infringing on the powers of the legislature and executive. This can be seen as a threat to the principle of separation of powers, which is a fundamental tenet of democracy. Judicial independence, on the other hand, requires judges to remain impartial and avoid taking an active role in shaping public policy. This approach can be seen as a threat to the principle of democracy, as it may prevent judges from addressing important issues that are not being adequately addressed by the legislature or executive.

In practice, it is difficult for a judiciary to be both activist and independent. Judges who value judicial independence are often cautious in their approach to decision-making and are reluctant to make decisions that are seen as overly political or controversial. This can make it difficult for them to address important issues that require bold and controversial decisions. On the other hand, judges who value judicial activism are often willing to make bold and controversial decisions, even if they are not entirely supported by legal precedent. This can make it difficult for them to remain impartial and avoid taking an active role in shaping public policy.

There are many examples of this tension between judicial activism and judicial independence in the history of the United States. One example is the landmark case of Brown v. Board of Education, in which the Supreme Court ruled that segregation in public schools was unconstitutional. This decision was a clear example of judicial activism, as it overturned decades of legal precedent and required the executive and legislative branches to take action to end segregation. However, it was also a clear example of judicial independence, as the Supreme Court was acting independently of political pressures and interpreting the law in a way that was consistent with the principles of democracy.

Another example of this tension is the case of Roe v. Wade, in which the Supreme Court ruled that a woman’s right to choose to have an abortion was protected by the Constitution. This decision was also a clear example of judicial activism, as it required the legislature and executive to take action to protect the right to choose. However, it was also a clear example of judicial independence, as the Supreme Court was interpreting the law in a way that was consistent with the principles of democracy and protecting the rights of individuals against potential infringement by the state.

In conclusion, while judicial activism and judicial independence are both important concepts in the operation of a democratic society, there is a fundamental tension between them. A judiciary may be activist or independent, but not both. Judges who value judicial independence are often ….


A most impressive performance. It was produced in less than 2 minutes and certainly much faster than anything I could have written. It produced 705 words instead of the 500 asked for and ends rather abruptly – perhaps because it had exceeded the required word-count. 


I needed more discrimination and altered the request slightly:

Q: Write an essay on why a judiciary to be independent cannot be activist

ChatGPT: The judiciary is an essential branch of government tasked with interpreting the law and ensuring that justice is served. It is imperative that the judiciary remains independent and free from political influence to uphold the rule of law and protect the fundamental rights of citizens. However, there is often a debate about whether the judiciary can be both independent and activist. In this essay, I will argue that a judiciary that is independent cannot be activist.

Firstly, independence and activism are fundamentally at odds with each other. Judicial activism requires judges to take an active role in shaping public policy, which can infringe on the powers of the legislature and executive. In contrast, judicial independence requires judges to remain impartial and avoid taking an active role in shaping public policy. Thus, judicial activism and judicial independence are inherently contradictory.

Secondly, judicial activism can undermine public trust in the judiciary. When judges take an active role in shaping public policy, they risk being seen as overstepping their boundaries and making decisions that are not based solely on legal precedent. This can lead to accusations of judicial overreach and undermine the public’s confidence in the judiciary as a fair and impartial arbiter of disputes. Judicial independence, on the other hand, ensures that judges remain impartial and base their decisions solely on legal precedent, which can increase public trust in the judiciary.

Thirdly, judicial activism can lead to a politicization of the judiciary. When judges take an active role in shaping public policy, they risk becoming politicized and aligning themselves with particular political agendas. This can lead to accusations of bias and undermine the judiciary’s reputation for impartiality. By contrast, judicial independence ensures that judges remain free from political influence and make decisions solely based on legal precedent, which can prevent the judiciary from becoming politicized.

Lastly, judicial activism can infringe on the separation of powers between the judiciary, legislature, and executive. The separation of powers is a fundamental principle of democracy, which ensures that each branch of government operates independently of the other. When judges take an active role in shaping public policy, they risk infringing on the powers of the legislature and executive, which can undermine the principle of the separation of powers. Judicial independence, on the other hand, ensures that the judiciary operates independently of the other branches of government and upholds the principle of the separation of powers.

In conclusion, while judicial activism can play an essential role in addressing issues that the legislature and executive are unable or unwilling to address, it cannot be reconciled with judicial independence. A judiciary that is independent must remain impartial and avoid taking an active role in shaping public policy. Judicial independence is necessary to uphold the rule of law and protect the fundamental rights of citizens. When judges remain independent, they ensure that justice is served, and the public’s confidence in the judiciary is maintained.


There is an attempt to be even-handed but a few too many caveats. So I perceive a clear bias. ChatGPT would I think prefer to defend the position that a judiciary can be both activist and independent.

Which, of course, is the woke point of view but utter nonsense.