AI Snake Oil
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Is Avoiding Extinction from AI Really an Urgent Priority?
The history of technology suggests that the greatest risks come not from the tech, but from the people who control it
May 31
•
Arvind Narayanan
70
13
April 2023
Quantifying ChatGPT’s gender bias
Benchmarks allow us to dig deeper into what causes biases and what can be done about it
Apr 26
•
Sayash Kapoor
and
Arvind Narayanan
39
15
I set up a ChatGPT voice interface for my 3-year old. Here’s how it went.
Chatbots are likely to revive familiar debates about kids and apps
Apr 14
•
Arvind Narayanan
81
18
March 2023
A misleading open letter about sci-fi AI dangers ignores the real risks
Misinformation, labor impact, and safety are all risks. But not in the way the letter implies.
Mar 29
•
Sayash Kapoor
and
Arvind Narayanan
98
35
OpenAI’s policies hinder reproducible research on language models
LLMs have become privately-controlled research infrastructure
Mar 22
•
Sayash Kapoor
and
Arvind Narayanan
33
10
GPT-4 and professional benchmarks: the wrong answer to the wrong question
OpenAI may have tested on the training data. Besides, human benchmarks are meaningless for bots.
Mar 20
•
Arvind Narayanan
and
Sayash Kapoor
116
21
What is algorithmic amplification and why should we care?
A symposium and a primer on social media recommendation algorithms
Mar 15
•
Arvind Narayanan
10
Artists can now opt out of generative AI. It’s not enough.
Opting out is the latest example of generative AI developers externalizing costs.
Mar 9
•
Sayash Kapoor
and
Arvind Narayanan
16
3
The LLaMA is out of the bag. Should we expect a tidal wave of disinformation?
The bottleneck isn't the cost of producing disinfo, which is already very low.
Mar 6
•
Arvind Narayanan
and
Sayash Kapoor
10
10
AI cannot predict the future. But companies keep trying (and failing).
A new paper on how AI companies make false promises and how we can challenge them
Mar 1
•
Sayash Kapoor
and
Arvind Narayanan
24
4
February 2023
People keep anthropomorphizing AI. Here’s why
Companies and journalists both contribute to the confusion
Feb 22
•
Arvind Narayanan
and
Sayash Kapoor
35
11
December 2022
Four more things we worked on in 2022
We had a busy 2022. Here are a few things we worked on but didn’t cover here.
Dec 31, 2022
•
Arvind Narayanan
and
Sayash Kapoor
9
1
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