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Where AI differs is its interaction with data and rights. Unlike coding assistants trained on open-source software, most commercial image generation tools are trained on copyrighted work. It’s a non-consensual, extractive practice in an already-precarious industry. It’s always hard to put the tech genie back in the box, but I think this is a case w... See more

It is time to find ways to manage both the open resources and the AI solutions built on top of them in a way that is more sustain -able and reduces harm

As noted above, not only the model but also the manner in which it is deployed and in which potential harms are measured and mitigated have the potential to create harmful bias, and a particularly concerning example of this arises in DALL·E 2 Preview in the context of pre-training data filtering and post-training content filter use, which can resul... See more

Scientists have long been developing machines that attempt to imitate the human brain. Just as humans are exposed to systemic injustices, machines learn human-like stereotypes and cultural norms from sociocultural data, acquiring biases and associations in the process. Our research shows that bias is not only reflected in the patterns of language, ... See more