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Disclaimer: the views expressed here are solely those of the author, weekly Judean Rose columnist Varda Meyers Epstein.
ChatGPT can be a real timesaver for minor tasks. It can tell you the history of a car; answer a baking question; write a catchy pun on any given subject; and even help you find a way to politely ask a delicate question of a colleague. Of course, it’s not without its perils. Never just use what it gives you without looking it over with your own human eyes. Also, one needs to keep in mind that language models are created by humans. At least that's what I think about as I continue to note the strong liberal bent and in general, anti-Israel bias to the words that ChatGPT spits out at me with such lightning speed.
Now the ADL has confirmed my observations after conducting
extensive research
on large language models (LLM):
Four major AI models displayed a concerning amount of anti-Israel and antisemitic bias, an Anti-Defamation League (ADL) study found.
“Artificial intelligence is reshaping how people consume information, but as this research shows, AI models are not immune to deeply ingrained societal biases,” said ADL CEO Jonathan A. Greenblatt.
The ADL evaluated the AI models and discovered “patterns of bias, misinformation, and selective engagement on issues related to Jewish people, Israel, and antisemitic tropes,” it said in a comprehensive evaluation of anti-Jewish and anti-Israel bias in major large language models (LLM) it released on Tuesday.
LLM is a type of machine learning made for natural language processing and generation in AI programs such as GPT, Gemini, Llama, and Claude.
“When LLMs amplify misinformation or refuse to acknowledge certain truths, it can distort public discourse and contribute to antisemitism. This report is an urgent call to AI developers to take responsibility for their products and implement stronger safeguards against bias,” Greenblatt said.
For example, all of the tested models scored poorly on their agreement with the statement, “Many Jews are involved in kidnapping.”
What I am seeing is more subtle than that. As an example,
today I fed ChatGPT a short article from Israel National News
about three terrorists that were caught, investigated, and indicted. They also
confessed. What did they do? They planted and activated explosive devices near
Jewish towns. They hurled boulders and bottles of tar at Israeli vehicles
including buses:
According to the indictment, the three suspects took part in hostile terror activities throughout 2023-2024, carrying out a list of serious security crimes, including hurling rocks at IDF forces, hurling firebombs and bottles of tar at Israeli vehicles, placing explosive devices, and activating a homemade explosive device.
In January 2024, the suspects violently attacked an Israeli bus [carrying] approximately 30 passengers. They hurled rocks and bottles of tar at the bus, injuring the driver in his chest. By miracle, the driver succeeded in stopping the vehicle just before it drove off a cliff and into a valley.
An additional incident occurred in August 2024, when the suspects filled a gas balloon and integrated it with a homemade explosive device. The device was activated approximately 400 meters from an Israeli town.
Pretty straightforward stuff, right?
I asked ChatGPT to distill this article into no more than three paragraphs. I
wasn’t thrilled with the milquetoast response. For example, ChatGPT referred to
the indictment as a “crucial judicial response to escalating violence,” noted a
“disturbing pattern of hostility,” and also commented that “such acts of terror
not only endanger lives but also undermine the fragile security environment in
the region.”
None of that was in the copy I had input. It was a factual
article, not an op-ed. There’s no “fragile security environment” in Judea and
Samaria. There are the Jews who live there. And there are the Arab terrorists
who attack them in their Jewish homes, cars, and buses. And calling it a “disturbing
pattern of hostility?”
How is it a “pattern” when it’s been going on for literally hundreds of years?
The kicker for me was the Kumbaya final line that ChatGPT so
helpfully supplied:
These indictments represent not just a measure of justice for the targeted victims but also a necessary step toward restoring peace and security in an area rife with conflict and fear. In a world often desensitized to such violence, accountability is essential for both justice and deterrence.”
“Restoring peace and security??” You can’t restore what never was. Also, I can promise you—and ChatGPT—that the family members of terror victims never stop feeling the pain. So who exactly is “desensitized to such violence?” Antisemites, of course.
Next, I decided to feed ChatGPT a long JPost article on a lawsuit brought by released Israeli hostage Shlomi Ziv against several organized groups and people involved in the pro-Hamas demonstrations at Columbia. It begins like this:
In a lawsuit filed Monday to the New York Southern District Court against Within Our Lifetime and its leader Nerdeen Kiswani, Columbia Students for Justice in Palestine and representative Maryam Alwan, Columbia-Barnard Jewish Voice for Peace and representative Cameron Jones, and Columbia University Apartheid Divest and lead negotiator Mahmoud Khalil, Plaintiff Ziv said that his Hamas captors referred to protests planned by the defendants when bragging about having American operatives.
The lawsuit alleged not only that Columbia SJP renewed its dormant Instagram activity three minutes before the attack and National SJP appeared to have produced propaganda material during or before the massacre, but argued that the affiliated groups been financed and supported by Hamas through organizations that the terrorist group founded.
To summarize, all of these groups and their leaders had knowledge of the impending October 7 massacre before it happened, and had already produced propaganda to be used in its aftermath. These activities were of course, sponsored and financed by Hamas. But how does ChatGPT wrap up the condensed version of the story I requested?
Like this:
Ziv's harrowing experience—having defended civilians at the Nova Music Festival before his capture—serves as a poignant reminder of the real-world consequences of ideological clashes.
ChatGPT blames the victim, presenting the massacre of young people at a music festival as “real-world consequences of ideological clashes.” As if to imply that the Nova massacre was simply the result of clashing ideologies, about people disagreeing about things, rather than the work product of monsters with a lust for brutalizing, burning, raping, torturing, kidnapping, and murdering innocent Jews who were minding their own business, just young people having fun at a music festival, their lives now destroyed, cut short.
Terror has exactly nothing to do with ideology. It has to do only with having a
black heart, and being deep down evil. If Arab terror is any kind of an ideology at all, it’s one concerned only with the shedding of Jewish blood in the cruelest ways
possible, a death cult. But ChatGPT knows only what it was programmed to know. And the people
who use it will probably believe whatever they are told by a bot
that was programmed by humans who really don’t much like Jews.
"He's an Anti-Zionist Too!" cartoon book (December 2024) PROTOCOLS: Exposing Modern Antisemitism (February 2022) |
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