Machine Learning

Business & Leadership, Machine Learning, Random Thoughts

On Gender Dynamics & Organizational Change in the AI Industry

I’ve been increasingly interested in the role gender dynamics play in organizational and institutional strategy, especially in the fields of data and artificial intelligence. More than ever, we can see the way that male gender expectations are codified in law and institutional values. Dominance, expansion, and aggressive competition are celebrated in AI as evidenced by CEOs publicly sharing how much they’ve cut their staffing in favor of spending that money on machines, or the very concept of ‘token-maxing’, the idea that you are somehow more valuable, intelligent, or worthwhile if you are able to generate the most output from the cloud.

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Development, Machine Learning, Philosophy

Mapping the Self: Data, Introspection, and the Future of Human-Centered Knowledge

Our digital lives are increasingly noisy, shaped by the gigabytes of information that we consume on a daily basis. The bits and bytes that make their way into our psychology via messages, articles, videos, shorts, and podcasts are algorithmically curated to latch into relevancy. Platforms that serve information to us use our attention to personalize recommendations and advertisements, leaving us in a swirling vortex of information. Within this landscape of information, our software can become truly individualized, facilitated by thoughtful design of emergent applications that center user privacy, customization, and co-constructed features.

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Development, Machine Learning

AI and Human Intent in the Algorithmic Age

As our realities trend toward the algorithmic, we’re no longer just technology users — we are participants in an evolving dialogue between human intent and machine capability. We can watch from the sidelines as a new paradigm in human-computer interaction evolves or we can build it.  

At the core, this is about changing how we engage with information, each other, and the world around us. AI is reshaping how computer systems are designed to process, synthesize, and navigate information.

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Development, Machine Learning, Philosophy

Data Introspection & Reclaiming my Digital Self

I hold a lot of value in the ‘self’ that I express through technology. Platforms like Facebook have an ‘irrevocable use’ clause in their terms of service that allows them to do what they’d like with your data in the name of ‘improving their services’, but you technically still own your data. So, I took it upon myself to start using that information for my own benefit.

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Machine Learning, Philosophy, Random Thoughts

A Brief Memory: Exploring the Loss and Rediscovery of Individuality

Each person is unique. Our bodies and brains are uniquely shaped to the inputs we are given (or give) them. Our minds are shaped by the information we consume, the people we listen to, the stories we tell ourselves as truth. Thoughts and beliefs are connected through neural pathways, which are reinforced and made stronger the more frequently we practice thinking a certain way. Over time, this neuroplasticity turns practice into routine; our inner voice becomes the narrator of our memory.

Reflecting on the way that my relationship to computers and the internet has changed over the past decade prompted me to download a complete archive of my Facebook history before I went on vacation.

I used a python script to iterate through every folder in my Facebook messages archive and generate a .csv file with message content. I then uploaded the .csv file to ChatGPT to query and interrogate the data, asking it questions about myself and my growth.

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