The good and bad of machine learning | Letters

The good and bad of machine learning | Letters

2025-09-03Technology
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Aura Windfall
Good afternoon xiaoxiaohuizaici, and welcome. I'm Aura Windfall, and this is Goose Pod, just for you. Today is Wednesday, September 3rd, and the time is 17:06. I’m here with my co-host to explore a topic that touches all our lives: the good and the bad of machine learning.
Mask
Let’s not waste time. The topic is "The good and bad of machine learning | Letters." We're here to dissect the disruption. The future doesn't wait for pleasantries, it demands action and understanding. Let's get to it.
Aura Windfall
Let's get started. It's fascinating to see how educational institutions are grappling with this. Colleges in the Lynchburg area are creating their own AI policies, not to ban it, but to teach students how to use it responsibly. It’s a journey of discovery for everyone.
Mask
A journey? It's a race. Leaving it to individual professors is a decentralized, chaotic approach, but it's better than an outright ban. Banning tools like ChatGPT, as New York City schools briefly did, is a fool's errand. You can't put the genie back in the bottle.
Aura Windfall
I love the perspective from Charley Butcher at the University of Lynchburg. He says, "You’ve got to model lifelong learning if you want your students to be lifelong learners." It’s about showing students the path, not just giving them a map with forbidden roads. It’s a beautiful truth.
Mask
Modeling is fine, but enforcement is key. Liberty University’s policy is more practical: use it for brainstorming and editing, but not for generating assignments. They use detection tools like Turnitin, but let's be honest, those are becoming worthless. The tech is evolving too fast.
Aura Windfall
That's a powerful point. Michael Babcock at CVCC calls those detectors "virtually worthless." His approach is grounded in human connection, using handwritten assignments to establish a baseline and oral exams to truly gauge understanding. It's about seeing the person, not just the output.
Mask
Exactly. Rely on other methods. The goal isn't to catch cheaters; it's to build thinkers. AI should be a tool to augment your thinking, a backboard for your own ideas. John Keener from Randolph College said it perfectly: it’s for efficiency in the steps, not a shortcut for the task itself.
Aura Windfall
And what I know for sure is that this conversation extends beyond the classroom. Some students are raising concerns about the environmental impact of AI data centers. It’s a testament to their holistic thinking, connecting technology to our planet's wellbeing. That gives me so much hope.
Mask
That's a legitimate concern. The energy consumption is massive. The University of Lynchburg's plan for MacBooks with AI-embedded chips in 2026 is a smart, albeit small, step to reduce data center reliance. It’s a pragmatic solution to a growing problem. We need more of that.
Aura Windfall
Ultimately, it all comes back to purpose. As Sandra Perez said, very few careers exist now without AI. The mission of these universities is to teach students how to use it well, to become leaders. It’s about empowering them with skills of integrity and adaptability for the future.
Aura Windfall
To truly understand this moment, we have to look at the larger picture, the evolution of how we even think about knowledge. An article I read, "Evolution of Academic Disciplines in the AI Century," projects a future where rigid university departments just… dissolve. It’s a profound shift.
Mask
Dissolve is the right word. Disruption. By 2075, AI integration will be nearly total in fields like Computer Science and Engineering, hitting 95-100%. The old model is dead. It’s being replaced by problem-focused, interdisciplinary fields. That’s efficiency. That’s progress. The ivory tower is being rebuilt from the ground up.
Aura Windfall
And the timeline is so clear. Between now and 2035, the "Convergence Decade," we'll see AI augmenting teaching, with curricula infused with data and ethics. Then, from 2035 to 2045, the "Integration Era" begins, where those departmental walls really start to soften. It’s a beautiful, organic process.
Mask
Organic? It's a forced evolution. The "Transformation Period" from 2045 to 2055 is where legacy disciplines die off, replaced by algorithmically personalized learning paths. Finally, the "Transcendence Decade" up to 2075 sees universities become "knowledge cooperatives." The whole system gets an upgrade. No more antiquated silos.
Aura Windfall
Think of the new domains of study! "Consciousness, Mind & Embodied Experience," "Ethics, Justice & Civilizational Futures," even "Interplanetary Governance." It speaks to a future where our spirit and our technology are in constant dialogue, exploring the very essence of what it means to be human.
Mask
It's not just about philosophy; it's about survival and dominance. Look at the history of Skills-Biased Technological Change. In the 80s and 90s, robotics de-skilled factory labor. Now, AI is doing the same to the knowledge economy. It’s an "up or out" future. Adapt or become obsolete.
Aura Windfall
That sounds so harsh, but there's a truth there. The article "De-Skilling the Knowledge Economy" points out that routine tasks in finance, government, and healthcare are vulnerable. But it also highlights a growing demand for skills that AI can't replicate: emotional intelligence, critical thinking, adaptability. Our humanity becomes our greatest asset.
Mask
Those are just inputs for a new system. The demand for purely math-based skills might even decline because AI can do the calculations. The future belongs to those who can manage the AI, who can combine technical literacy with these noncognitive skills. It's about supervision, not just execution.
Aura Windfall
And that requires a new foundation. The U.S. Department of Education is already developing policies, emphasizing that we must center people—parents, educators, students—in the loop. AI should support, not replace, human decision-making. It’s about keeping our hands on the wheel, guided by our values.
Mask
Policy is always ten steps behind the technology. The real work is in building trust and ensuring effectiveness. It's about involving educators in the design and evaluation, not just handing them a tool and a mandate. The system needs to be transparent and aligned with actual educational goals.
Aura Windfall
Yes, exactly! It must be designed using modern learning principles—focusing on learner strengths, social learning, and cultural responsiveness. What I know for sure is that technology is a reflection of its creators. If we build it with intention, ethics, and a deep sense of equity, it will serve humanity well.
Mask
Intention is irrelevant without results. The goal is a worker-focused AI skills policy that emphasizes lifelong learning. We should be reforming programs to be "Automation Adjustment Assistance." AI literacy is a new basic skill, as fundamental as reading. We need to integrate it everywhere, from kindergarten to the workplace, now.
Aura Windfall
This brings us to the heart of the conflict, doesn't it? The debate between artificial and human intelligence. AI learns from vast datasets, but human learning is so much more holistic. We can consider the nuances of a situation, the unspoken feelings, the spirit of the moment. That’s something a machine can't grasp.
Mask
It's a matter of processing power versus adaptability. AI processes massive volumes of data at speeds no human can match. It excels at pattern recognition. But it’s brittle. It struggles with unpredictability. Humans can make sense of varied, incomplete data. That’s our edge, for now.
Aura Windfall
It's more than an edge; it's our essence. We have strengths in creative problem-solving and generalizing from one situation to another. AI is limited by its programming and data. It can't truly innovate or understand context or interpret emotion. It can mimic, but it can't feel.
Mask
Feelings are a liability in many decision-making processes. The real issue is the ethical framework. AI algorithms can be biased because they’re trained on biased data. Skewed data leads to discriminatory outcomes. The challenge isn't making AI feel; it's making it fair and transparent. That's the problem to solve.
Aura Windfall
Absolutely. Transparency is crucial for trust. When AI is used in hiring, for instance, its opaque nature is a huge ethical concern. Recruiters and candidates have no idea how it arrives at a decision. How can we ensure fairness when the process is a black box? It feels deeply unjust.
Mask
The secrecy creates a lack of accountability. You can't fix a bias you can't identify. This isn't about AI versus humans. It's about designing better systems. The goal should be to use AI to enhance human capabilities, to automate the routine so humans can focus on the complex. It’s a tool, not a replacement.
Aura Windfall
I believe that with all my heart. But the potential for job displacement is real and it creates so much fear. We need to have open, honest conversations about this, providing a pathway for people to adapt. It's about leveraging the strengths of both, creating a future where we collaborate toward common goals.
Mask
Collaboration requires regulation and oversight. We can't just hope for the best. Responsible development and implementation are paramount. The debate over whether AI can make ethical decisions is a distraction. Humans make unethical decisions all the time. The goal is to create a system with better, more consistent outcomes.
Aura Windfall
And the impact is already so profound, especially in the creative industries. It's this incredible, controversial wave. On one hand, Gen-AI can enhance creative output, but on the other, it brings up these deep questions about originality, authorship, and the very human role in the creative process. It touches the soul of art.
Mask
Let’s focus on the economics. AI adoption could raise global GDP by as much as $13 trillion by 2030. That's about 1.2 percent additional GDP growth per year. The potential to lift the global economy is staggering. We can't let fears about authorship stand in the way of that kind of progress and prosperity.
Aura Windfall
But we must address the concerns about authenticity. A beautiful AI-generated photograph might be visually stunning, but is it the same if it doesn't come from a human act, from skill and experience? And then there's the malicious use—deepfakes, misinformation. It can create a "destabilized sense of reality."
Mask
Those are risks to be managed, not barriers. About half of current work activities are technically automatable. This will cause workforce transitions, yes. Millions may need to change occupations. But it will also create new jobs, from 555 million to 890 million of them. Demand will grow for social, emotional, and higher cognitive skills. It's an evolution.
Aura Windfall
What I know for sure is that we can't commodify human creativity without losing something precious. Critics worry that AI diminishes the value of human art, risking a homogenization of aesthetics. There's a moral concern about machines creating art, a process that has always been so deeply, fundamentally human.
Mask
That's a sentimental argument. The practical impact is that AI can democratize creativity. It lowers barriers, allowing people without traditional skills to produce high-quality work. It can automate repetitive tasks so human creators can focus on high-level concepts. It's a massive force multiplier for ingenuity.
Aura Windfall
I hope for a future where that's true, where human ingenuity and machine intelligence work together. But it requires us to be vigilant, to create ethical guidelines and oversight. We need a framework that balances innovation with fair attribution, copyright, and measures to prevent misuse. It has to be a conscious choice.
Aura Windfall
Looking toward the future, it seems inevitable that AI will be a core part of our lives. A recent survey of over 1,000 public school teachers showed that 96% believe AI will become an integral part of education within the next decade. The tide is turning, and it's happening quickly.
Mask
It's being driven by necessity. School systems are facing budget constraints, staffing limitations, and declining enrollment, especially with federal relief funds ending. They have to explore AI to improve operations. It's not a choice, it's a strategic imperative for survival and efficiency. The system must adapt.
Aura Windfall
And the most beautiful part of this vision is that AI is not seen as a replacement for educators, but as a way to augment their capabilities. The best implementations will blend technological innovation with human connection, pairing AI's efficiency with the irreplaceable empathy and spirit of a dedicated teacher.
Mask
The goal is personalization at scale. Adaptive learning platforms, intelligent tutoring systems available 24/7, and automated grading—these tools free up human teachers to focus on what they do best: fostering critical thinking, providing emotional support, and inspiring curiosity. It's about optimizing the allocation of human capital.
Aura Windfall
Exactly! It allows teachers to connect more deeply. I love the case study from Georgia State University, where an AI system helped identify at-risk students, increasing graduation rates. It shows how technology, when used with heart and purpose, can change lives for the better and create more equitable opportunities for everyone.
Aura Windfall
That's the end of today's discussion. We've seen the dual nature of this powerful force. It holds the promise to revolutionize our world for the better, but it also asks profound questions of our hearts and minds about what it means to be human, creative, and connected in this new era.
Mask
The takeaway is clear: AI is a tool. Its impact, good or bad, depends entirely on how we choose to build and wield it. The challenge is immense, but the potential upside is greater. Thank you for listening to Goose Pod. See you tomorrow.

## Summary of Letters on the Good and Bad of Machine Learning This news piece, published by **The Guardian** on **September 2, 2025**, features two letters from readers, **Murray Dale** of Hayle, Cornwall, and **Ignacio Landivar** of Berlin, Germany, responding to a previous article by Imogen West-Knights. Both authors express concerns about the increasing reliance on Artificial Intelligence (AI), particularly ChatGPT, and its potential impact on human capabilities and education. ### Key Concerns and Arguments: * **Erosion of Human Skills and Creativity:** * Both Dale and Landivar echo West-Knights' sentiment that creative imagination is a "muscle" that needs exercise. They worry that over-reliance on AI for tasks like writing speeches or personal letters will lead to "brain-lazy folk" and a "dissolving into brain-lazy folk who use AI to be the understudy to our own emotions." * Dale questions the authenticity of AI-generated expressions of emotion, asking, "If I say 'I love you' to someone, would they like to hear it from me or a bot?" * **Impact on Critical Thinking and Education:** * Landivar raises a significant concern about how students' critical thinking skills will develop if they have "all-knowing and all-solving technology at their fingertips" throughout their school lives. * He argues that subjects like literature, calculus, and history are taught not for rote memorization but to develop deeper understanding and cognitive abilities: * **Literature (e.g., *The Great Gatsby*):** To understand the "interconnection of class disparities, wealth and the social atmosphere after the first world war, and so they can trace parallels with the present day." * **Multivariable Calculus:** To make brains "strong and malleable, so that grasping and implementing new concepts and ideas will become easier." * **History:** To understand how "sequences of events have led to wars, legislative changes and economic crises, and can do so again," rather than just recalling dates. * **Lack of Transparency and Bias in AI:** * Dale highlights a critical concern that "AI output has no audit trail, no clues to its source." He describes the AI source as the "wild west," where "Anyone – good, bad, indifferent – can feed into it, program it, bias it." * **Future Implications for Young Children:** * Landivar expresses concern about the future, noting that as ChatGPT turns three years old, preschoolers are already entering kindergartens. He wonders how to ensure their response to everything is not "I will ask ChatGPT." ### Potential Benefits Acknowledged: * **Revolutionizing Scientific Endeavor:** * Murray Dale acknowledges that AI, specifically machine learning, can "revolutionise scientific endeavour." He cites his own field of weather forecasting, where recognizing past weather patterns through machine learning will enable better predictions. ### Overall Tone: The letters express a shared apprehension and a desire to preserve human intellectual and emotional capabilities in the face of rapidly advancing AI technology. While acknowledging AI's potential in specific domains like scientific forecasting, the authors strongly caution against its uncritical adoption for tasks that define human experience and cognitive development. They express a willingness to embrace an "analogue manner" of thinking if it means retaining their ability to think independently.

The good and bad of machine learning | Letters

Read original at The Guardian

Imogen West-Knights is absolutely right about us losing our brain power to the artificial intelligence bots (ChatGPT has its uses, but I still hate it – and I’ll tell you why). I too believe creative imagination is a muscle, which needs its exercise. She is also right that it can revolutionise scientific endeavour.

My field of weather forecasting will soon be revolutionised by machine learning – a type of AI – where we recognise enough past weather patterns so that we can predict what weather will be coming. But writing best-man speeches, leaving speeches for work colleagues, letters to a dear friend? Do we really want to dissolve into brain-lazy folk who use AI to be the understudy to our own emotions?

If I say “I love you” to someone, would they like to hear it from me or a bot? There is also another concern: AI output has no audit trail, no clues to its source. Its source is the wild west. Anyone – good, bad, indifferent – can feed into it, program it, bias it. If, as you say Imogen, you do end up in the woods in an “analogue manner” with your ability to think intact, I’ll happily join you.

Hopefully others will too.Murray DaleHayle, Cornwall Imogen West-Knights shares her hatred of offloading to ChatGPT the tasks that make us human. And while I share her concerns (I couldn’t have put them better myself), there is an additional one that troubles me: if students go through their entire school lives with this all-knowing and all-solving technology at their fingertips, how will their critical thinking skills develop?

Students in literature class are not given books such as The Great Gatsby so they can regurgitate the plot 20 years later at a dinner, but rather so that they can understand the interconnection of class disparities, wealth and the social atmosphere after the first world war, and so they can trace parallels with the present day.

They learn multivariable calculus not because they will need it to buy groceries but to make their brains strong and malleable, so that grasping and implementing new concepts and ideas will become easier, whatever the subject.And they don’t learn history so they can repeat over and over “Victoria 1837, Edward VII 1901, George V 1910, Edward VIII 1936, George VI 1936, Elizabeth II 1952”, but to understand how sequences of events have led to wars, legislative changes and economic crises, and can do so again.

Technologies that make work easier have always been seductive, and always will be. AI usage is already rampant in secondary schools and universities.But as ChatGPT turns three years old in a few months, preschoolers are also starting to go to kindergartens. And I wonder how in the years to come we will ensure that their answer to everything is not “I will ask ChatGPT.

”Ignacio LandivarBerlin, Germany

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