We created two separate deepfake detection methodsintended to encourage fairness.
It turns out the first method worked best.
Moreover, it increased accuracy while enhancing fairness, which was our main focus.
We believe fairness and accuracy are crucial if the public is to acceptartificial intelligencetechnology.
When large language models like ChatGPT hallucinate,they can perpetuate erroneous information.
This affects public trust and safety.
A deepfake of Ukraine President Volodymyr Zelensky in 2022 purported to show him calling on his troops to lay down their arms.
Our research addresses deepfake detection algorithms fairness, rather than just attempting to balance the data.
It offers a new approach to algorithm design that considers demographic fairness as a core aspect.
Also tagged with
