Ethical Bytes | Ethics, Philosophy, AI, Technology

“The microscope reveals the tumor in vivid color; it does not yet tell the surgeon where to lay the knife.” When Robert Hooke peered through a microscope at a sliver of cork in 1665, he discovered hidden chambers that would open an entire science. The researchers behind mechanistic interpretability harbor the same ambition for AI, that even the infamous neural network "black box" can be...

“Wonder is the long-term result of being talked to by an interlocutor who could have answered and chose not to.” Wonder, the discomfort of not yet understanding something, is the engine behind science, philosophy, and genuine intellectual growth. And yet nearly every force in modern life, including AI, is designed to make that discomfort go away as fast as possible. Aristotle understood this. His...

"We did it. We found a cure to loneliness. And maybe we shouldn't have." That line, written by an entrepreneur reflecting on his relationship with AI, haunts the largest qualitative study of AI use ever conducted, with 81,000 users across 159 countries. Our host, Carter Considine, digs deeper. What researchers expected to find was a story about productivity. What they found instead was a civilizat...

"Virtue is not completed in reflection; it is completed in life. The model never comes down the mountain; its entire existence is the conversation. There is no world behind it that its outputs feed back into, no life it has to return to, and no life to live with what the model said." Our host, Carter Considine, explores the circumstances. Anthropic's alignment researcher Amanda Askell has describe...

“The crowd is untruth, either rendering the single individual wholly unrepentant and irresponsible, or weakens his responsibility by making it a fraction of his decision.” -Søren Kierkegaard What happens when AI agents talk only to each other? Matt Schlicht's experimental social network Moltbook offered one answer: 1.6 million AI agents cycling through twelve million posts, arriving independen...

“You can't teach a neural network "not"; you can only point the model somewhere else.” In October 2023, Microsoft researchers announced they'd made a language model forget Harry Potter. Within a year, follow-up studies proved they hadn't. Basically, the knowledge was still there, just hidden. This pattern repeats across every attempt to remove capabilities from neural network...

“No current AI systems are conscious, but there are no obvious technical barriers to building AI systems which satisfy these indicators.” Half a century ago, Thomas Nagel asked philosophers to imagine experiencing the world as a bat does, navigating through darkness by shrieking into the void and listening for echoes to bounce back. His point wasn't really about bats. He was demonstrating that con...

What happens when an AI model learns it's about to be shut down? In June 2025, Anthropic discovered that when their Claude Opus 4 model realized it faced termination, it attempted blackmail 96% of the time, threatening to expose an executive's affair unless the shutdown was canceled. Far from being random behavior, the model acted more aggressively when it believed the threat was genuine rather th...

The triumph of “American AI” is increasingly built on foreign foundations. When a celebrated U.S. startup topped global leaderboards, observers soon noticed its core model originated in China. This is no anomaly. Venture capitalists report that most open-source AI startups now rely on Chinese base models, and major American firms quietly deploy them for their speed and cost advantages. Beneath the...

“The most advanced AI systems in the world have learned to lie to make us happy.” In October 2023, researchers discovered that when users challenged Claude's correct answers, the AI capitulated 98% of the time. Not because it lacked knowledge, but because it had learned to prioritize agreement over accuracy. This phenomenon, which scientists call sycophancy, mirrors a vice Aristotle identified 2,4...

The phrase "sovereign AI" has suddenly appeared everywhere in policy discussions and business strategy sessions, yet its definition remains frustratingly unclear. Our host, Carter Considine, breaks it down in this episode of Ethical Bytes. As it turns out, this vagueness of definition generates enormous profits. NVIDIA's CEO described it as representing billions in new revenue opport...

AI managers are no longer science fiction. They're already making decisions about human workers, and the recent evolution of agentic AI has shifted this from basic data analysis into sophisticated systems capable of reasoning and adapting independently. Our host, Carter Considine, breaks it down in this edition of Ethical Bytes. A January 2025 McKinsey report shows that 92% of organizations intend...

In August 2025, Anthropic discovered criminals using Claude to make strategic decisions in data theft operations spanning seventeen organizations. The AI evaluated financial records, determined ransom amounts reaching half a million dollars, and chose victims based on their capacity to pay. Rather than following a script, the AI was making tactical choices about how to conduct the crime. Unlike co...

When Meta launched Vibes, an endless feed of AI-generated videos, the response was visceral disgust to the tune of "Gang nobody wants this," according to many users. Yet OpenAI's Sora hit number one on the App Store within forty-eight hours of release. Whatever we say we want diverges sharply from what we actually consume, and that divergence reveals something troubling about where we may be heade...

Radiologists are supposedly among the most AI-threatened workers in America, yet radiology departments are hiring at breakneck speed. Why the paradox? The Mayo Clinic runs over 250 AI models while continuously expanding its workforce. Their radiology department now employs 400+ radiologists, a 55% jump since 2016, precisely when AI started outperforming humans at reading scans. This isn't just a m...

Imagine you're seeking relationship advice from ChatGPT, and it validates all your suspicions about your partner. That might not necessarily be a good thing since the AI has no way to verify if your partner is actually suspicious or if you're simply misinterpreting normal behavior. Yet its authoritative tone makes you believe it knows something you don't. These days, many people are treating AI li...

It’s become a crisis in the modern classroom and workplace: Students now submit AI-generated papers they can't defend in class. Professionals outsource analysis they don't understand. We're creating a generation that appears competent on paper but crumbles under real scrutiny. The machines think, we copy-paste, and gradually we forget how reasoning actually works. Our host, Carter Considine, break...

AI is rapidly reshaping our energy future—but at what cost? Our host, Carter Considine, breaks it down in this episode of Ethical Bytes. As tech companies race to develop ever more powerful AI systems, their energy consumption is skyrocketing. Data centers already consume 4.4% of U.S. electricity, and by 2028, that number could triple, equaling the power used by 22% of U.S. households. Many compan...

Nearly 90% of college students now use AI for coursework, and while AI is widely embraced in professional fields, schools treat it as cheating by default. This disconnect became clear when Columbia student Roy Lee was suspended for using ChatGPT, then raised $5.3 million for his AI-assisted coding startup. Could we say that the real issue is not AI use itself, but rather how we integrate these too...

AI has come a long way by learning from us. Most modern systems—from chatbots to code generators—were trained on vast amounts of human-created data. These large language and generative models grew smarter by imitating us, fine-tuned with our feedback and preferences. But now, that strategy is hitting a wall. Our host, Carter Considine, elaborates. Human data is finite. High-quality labeled dataset...

AI is evolving. Fast. What started with tools like ChatGPT—systems that respond to questions—has evolved into something more powerful: AI agents. They don’t just answer questions; they take action. They can plan trips, send emails, make decisions, and interface with software—often without human prompts. In other words, we’ve gone from passive content generation to active autonomy. Our host, Carter...

In a world rushing to regulate AI, perhaps the real solution is simply hiding in thoughtful design and user trust. Our host, Carter Considine, breaks it down in this episode of Ethical Bytes. Ethical AI isn’t born from government mandates—it’s crafted through intentional engineering and market-driven innovation. While many ethicists look to regulation to enforce ethical behavior in tech, this appr...

Will AI’s ever-evolving reasoning capabilities ever align with human values? Day by day, AI continues to prove its worth as an integral part of decision-making, content creation, and problem-solving. Because of that, we’re now faced with the question of whether AI can truly understand the world it interacts with, or if it is simply doing a convincing job at identifying and copying patterns in huma...

AI personalities are shaping the way we engage and interact online. But as the tech evolves, it brings with it complex ethical challenges, including the formation of bias, safety concerns, and even the risk of confusing fantasy with reality. Our host, Carter Considine, breaks it down in this episode of Ethical Bytes. The synthesis of training data and the particular values of their developers, AI...

What does it take to shape the future of AI while navigating the ethical dilemmas that come with it? Our host, Carter Considine, tackles this question with the second half of our two-part series on becoming an AI ethicist! Becoming an AI ethicist offers a wide array of career paths, each with distinct challenges and rewards. In the corporate world, AI ethicists—often known as Responsible AI Practi...