Applied Statistics - aka A.I.

Applied Statistics - aka A.I.

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The Emotional Labor Behind AI Intimacy, by Michael Geoffrey Asia.
The Emotional Labor Behind AI Intimacy, by Michael Geoffrey Asia.
Imagine confiding your most private fantasies to what you believe is an unfeeling algorithm that cannot judge or remember. Now imagine that on the other side of that conversation is a man sitting in a one-room home in Nairobi, working through the night while his wife and children sleep. That man is Michael, and this is his story.
·data-workers.org·
The Emotional Labor Behind AI Intimacy, by Michael Geoffrey Asia.
Post | LinkedIn
Post | LinkedIn
Possible non-sexist reasons that women are not adopting AI as fast as men. 🍆 If we consider the fact that pornography is one of the most popular and prolific use cases for Gen AI, we should not be surprised that women are less likely to use AI. 📡 Women and girls are raised to develop better and more sophisticated communication skills than boys. Apptitude tests prove this. It’s not that women are inherently better at communicating. We just raise girls to be better communicators.Women can usually write better emails than the slop created by Gen AI. 😔 While there is an epidemic of loneliness universally, it hits men more acutely. Women tend to have richer social-emotional relationships with their real world friends and also seek professional therapy. Men have always been more emotionally isolated and vulnerable. And may use AI more for companionship and therapy. 🧐 Despite being 51% of the global population, women and girls know how it feels to be a disadvantaged group with limited access to power. They are more likely to challenge the dogma of power and are more likely to question the ethics of AI. Maybe the problem isn’t that women are adopting AI too slowly but that men are adopting it without critical analysis.
·linkedin.com·
Post | LinkedIn
Post | Feed | LinkedIn
Post | Feed | LinkedIn
Approximately 70-75% of my classmates in my University of Cambridge Masters in AI Ethics and Society course are women. My professors say this is a general trend across all the cohorts that have gone through this program. Across the first three modules, women have written the best papers each term. These outcomes are not at all shocking to me as someone who studies the intersection of technology, gender, and identity. There is also early evidence that shows women, and specifically middle aged women, are the best human-in-the-loop governance agents because they are most likely to effectively challenge AI outcomes and question the validity of AI decisions. In this Harvard Business School article, writer Michael Blanding features the work of professor Rem Koning to highlight women’s lower adoption rates of AI tools and the potential risk this has for women in future job markets. The conclusion is that educators need to find ways to encourage women to increase AI adoption. I have a slightly different take than what the HBS features. I believe women fundamentally have a BETTER understanding of AI than men. And this makes them trust it less. In a paper published in the Journal of Marketing last year, researchers found that there is an inverse relationship between AI usage and AI understanding. The more people understand AI, the less they tend to use it. Those who see AI as sort of “magic” are far more likely to optimize their usage of AI tools. Women intuitively know that AI isn’t built with them in mind. Women make up only 15% of Machine learning researchers. The systemic exclusion and erasure of women from the computer science field has resulted in a paucity of women working in large AI tech companies. The solipsistic and sycophantic voice of LLMs was designed to appeal to male egos, not to women’s. The explosion of AI-generated pornography is feeding male gazes, not women’s. In the emerging workplace and marketplace where routine tasks will be completed by AI bots, we will turn more and more towards those people with a combination of technical and social-emotional intelligence. We will look to those people who can work with AI but also not allow AI to supersede human judgement. And I think in that market, women who are more willing to ask the hard ethical questions will be in a better position. | 90 comments on LinkedIn
·linkedin.com·
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AI Is the Bubble to Burst Them All
AI Is the Bubble to Burst Them All
I talked to the scholars who literally wrote the book on tech bubbles—and applied their test.
·wired.com·
AI Is the Bubble to Burst Them All
Myth, Power, and Agency: Rethinking Artificial Intelligence, Geopolitics and War - Minds and Machines
Myth, Power, and Agency: Rethinking Artificial Intelligence, Geopolitics and War - Minds and Machines
This collection interrogates how Artificial Intelligence (AI) is reshaping war, sovereignty, and human agency by entangling technological experimentation with myth-making and geopolitical power. Drawing on vignettes from the Ukrainian battlefront to Silicon Valley boardrooms, the contributions highlight the paradox that AI-driven innovation is contingent on perpetual risk-taking, distributed agency between humans and machines, and opaque state-corporate alliances. The latter foregrounds discursive and ideological alignments between state and corporate elites that increasingly naturalise apocalyptic and utopian AI futures. Furthermore, the collection examines the emergence of a global war lab, where conflict zones become sites for the rapid prototyping of autonomous systems. Meanwhile, decision-support algorithms in security and defence redistribute responsibility in unforeseen ways, thus challenging the promise of meaningful human control. Such dynamics are increasingly facilitated by the emergence of an AI Empire, in which corporate technological giants and militaries co-produce new forms of sovereignty and power across the global stage. This equally raises essential questions about the risks of automated violence, revealing the enduring role of judgment and emotion in war, and how mythology itself teaches us a great deal about technologically mediated warfare. Together, the collection argues that AI’s apparent inevitability is sustained by powerful mythmaking and storytelling that normalise experimentation, accelerate escalation, and mask unequal structures of extraction and domination. Ultimately, this collection offers a critical step towards uncovering these processes and reclaiming space for critical reflection, democratic oversight, and accountable design in an era when AI “deities” increasingly govern the politics and practices of conflict today.
·link.springer.com·
Myth, Power, and Agency: Rethinking Artificial Intelligence, Geopolitics and War - Minds and Machines
Against the Uncritical Adoption of 'AI' Technologies in Academia
Against the Uncritical Adoption of 'AI' Technologies in Academia
Under the banner of progress, products have been uncritically adopted or even imposed on users — in past centuries with tobacco and combustion engines, and in the 21st with social media. For these collective blunders, we now regret our involvement or apathy as scientists, and society struggles to put the genie back in the bottle. Currently, we are similarly entangled with artificial intelligence (AI) technology. For example, software updates are rolled out seamlessly and non-consensually, Microsoft Office is bundled with chatbots, and we, our students, and our employers have had no say, as it is not considered a valid position to reject AI technologies in our teaching and research. This is why in June 2025, we co-authored an Open Letter calling on our employers to reverse and rethink their stance on uncritically adopting AI technologies. In this position piece, we expound on why universities must take their role seriously to a) counter the technology industry's marketing, hype, and harm; and to b) safeguard higher education, critical thinking, expertise, academic freedom, and scientific integrity. We include pointers to relevant work to further inform our colleagues.
·zenodo.org·
Against the Uncritical Adoption of 'AI' Technologies in Academia
Post | LinkedIn
Post | LinkedIn
This isn’t about sex. It’s about control. First off, don’t call this ‘erotica’. Call it what it is: Sexualized surveillance. I have said before and will say it again: the only potentially profitable use case for this technology is as surveillance. And how best to surveil people? Take advantage of their narcissism.
·linkedin.com·
Post | LinkedIn
Large Language Muddle | The Editors
Large Language Muddle | The Editors
The AI upheaval is unique in its ability to metabolize any number of dread-inducing transformations. The university is becoming more corporate, more politically oppressive, and all but hostile to the humanities? Yes — and every student gets their own personal chatbot. The second coming of the Trump Administration has exposed the civic sclerosis of the US body politic? Time to turn the Social Security Administration over to Grok. Climate apocalypse now feels less like a distant terror than a fact of life? In three years, roughly a tenth of US energy demand will come from data centers alone.
·nplusonemag.com·
Large Language Muddle | The Editors