In this week’s Torah portion, Parashat Ki Tavo, the Torah commands the ceremony of the First Fruits (Bikkurim). When bringing their harvest to the Temple, farmers were required to make an explicit, public declaration, “An Aramean tried to destroy my father...” (Deuteronomy 26:5). The classical commentator Rashi explains that this ritual was fundamentally about hakarat ha-tov, recognizing your roots and openly acknowledging the foundational sources that made your final product possible. Rambam (Maimonides) highlights that you could not simply present the end result, you had to trace its origin. In Jewish ethics, absorbing the quiet labor of others and presenting the final outcome as entirely self-generated is spiritually and legally flawed.
This ancient principle of acknowledging original sources cuts to the heart of a massive, ongoing tech battle, the high profile copyright lawsuits against Meta and other AI giants over data scraping. Big Tech companies harvested massive datasets (millions of copyrighted books, articles, and creative works) to train foundational Large Language Models (LLMs). Meta’s defense often mirrors modern "fair use" arguments, asserting that transforming raw text into statistical weights erases the obligation to credit or compensate the original creators. As courts scrutinize how shadow libraries were ingested to power these commercial AI engines, tech leaders are confronting a fundamental ethical line, building revolutionary tech on scraped, unacknowledged human labor creates deep legal and reputational risk.
The Talmudic discussion in Gemara Chullin regarding geneivat da'at, intellectual theft or deception, sharpens this ethical parallel. The Sages rule that misrepresenting the true source or taking credit for another person’s effort isn't just poor etiquette, it violates core legal standards of honesty. In generative AI engineering, stripping away metadata, author attribution, and provenance to train models creates a system of artificial intelligence built on synthetic amnesia. When tech companies claim the outputs of generative models while obscuring the millions of human writers whose work made those outputs possible, they violate the core lesson of the Bikkurim declaration.
The enduring lesson of Parashat Ki Tavo is that true success requires radical honesty about our origins. As artificial intelligence transforms how we write, work, and build, tech governance must hold fast to this principle, innovation can never justify erasing the people who laid the foundation. Real progress honors its sources.
Good Shabbos!