Summary of Code Dependent by Gwendolyn Bounds ( Keynote reads )
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Code Dependent is a documentary that explores the impact of artificial intelligence on various aspects of our lives, including interpersonal relationships, education, work, finances, public services, and human rights. The film, shortlisted for the Women's Prize for Non-Fiction, highlights the challenges of reclaiming our humanity and the perils of our growing reliance on automated decision-making. The film highlights the voices of ordinary people in places far from Silicon Valley, highlighting how AI can strip away our collective sense of agency and shatter our illusion of free will. It also reveals the potential consequences of failing to reclaim our humanity.
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INTRODUCTION
Over a decade ago, the author became curious about a digital object called a 'cookie', which worked as a tagging mechanism for internet companies to identify and learn more about an individual's online behavior. They discovered the world of 'data brokers', shadowy companies that collect data about our online lives and turn them into saleable profiles of who we are today and who we will one day become. The discovery led them to the business models of the world's most valuable companies, grouped loosely together as Big Tech, who made their money by converting our lives into swarming clouds of data for sale.
To make the story feel tangible, the author tracked down the profile of someone they were intimately familiar with, myself, using adtech start-up Eyeota. The report included a report that ran to over a dozen pages compiled by Experian, a credit-rating agency that doubled as a data broker. The data included details of my TV-watching habits, food preferences, evening and weekend plans, spending, and even her 'liberal opinions'.
The discovery revealed a multibillion-pound industry of companies that collect, package, and sell detailed profiles based on our online and offline behaviors. The benign datasets could reveal a lot about me, from my gender and age to nuances about my personality and future decision-making.
The author has spent the rest of their career chronicling the fortunes of corporate giants like Google, Meta, and Amazon, who mine the data and use it to sell personalized and targeted recommendations, content, and products.
Artificial intelligence (AI) is a complex statistical software that uses real-world data to find patterns. The technology's progress has been driven by the explosion of available data on human behavior and creativity, the powerful chips needed to crunch this data, and the consolidated power of large technology companies. Tech giants like Google and Meta have applied machine learning to target advertising and grow their worth up to $1tn, monetizing personal data through surveillance capitalism.
We live daily alongside automated systems built on data, dictating our personal bonds, power dynamics at work, and our relationship with the state. AI software can help human experts make consequential decisions in areas such as medical diagnoses, public welfare, mortgage and loan requests, hiring and firing, among others.
Generative AI, or software that can write, create images, audio, or video in a way that is largely indistinguishable from human output, has marked a profound shift in our relationship with machines. As the new generation of AI can articulate using words and visuals and is trained on our own academic and creative outputs, it can manipulate our moods and emotions and persuade us in a more powerful way than ever before.
The rise of generative AI systems has made this need obvious and urgent. AI is affecting other significant areas of society, such as healthcare, policing, public welfare, and military warfare, creating lasting social change and altering the very experience of being human.
The author, a tech optimist, focuses on the impact of artificial intelligence (AI) on various aspects of life, including health, work, finances, children, parents, public services, and human rights. She explores the experiences of people living outside Silicon Valley, who