We’re taking part in Copyright Week, a series of actions and discussions supporting key principles that should guide copyright policy. Every day this week, various groups are taking on different elements of copyright law and policy, and addressing what’s at stake and what we need to do to make sure that copyright promotes creativity and innovation.
Artificial Intelligence (AI) grabs headlines with new tools like ChatGPT and DALL-E 2, but it is already here and having major impacts on our lives. Increasingly we see law enforcement, medical care, schools and workplaces all turning to the black box of AI to make life-altering decisions—a trend we should challenge at every turn.
The vast and often secretive data sets behind this technology, used to train AI with machine learning, come with baggage. Data collected through surveillance and exploitation will reflect systemic biases and be “learned” in the process. In their worst form, the buzzwords of AI and machine learning are used to “tech wash” this bias, allowing the powerful to buttress oppressive practices behind the supposed objectivity of code.
It’s time to break open these black boxes. Embracing collaboratively maintained Open Data sets in the development of AI would not only be a boon to transparency and accountability for these tools, but makes it possible for the would-be subjects to create their own innovative and empowering work and research. We need to reclaim this data and harness the power of a democratic and open science to build better tools and a better world.
Garbage in, Gospel out
Machine Learning is a powerful tool, and there are many impressive use-cases: like searching for signs of […]
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