“Here’s the catch: it is impossible to know all the ways a technology will be misused until it is used.”
Summary of:
These six questions will dictate the future of generative AI
that appeared on December 19, 2023 in the publication MIT Tech Review (Source link at the end.)
Will we ever mitigate the bias problem?
Prediction: Bias will continue to be an inherent feature of most generative AI models. But workarounds and rising awareness could help policymakers address the most obvious examples.
How will AI change the way we apply copyright?
Prediction: High-profile lawsuits will continue to draw attention, but that’s unlikely to stop companies from building on generative models. New marketplaces will spring up around ethical data sets, and a cat-and-mouse game between companies and creators will develop.
How will it change our jobs?
Prediction: Fears of mass job losses will prove exaggerated. But generative tools will continue to proliferate in the workplace. Roles may change; new skills may need to be learned.
What misinformation will it make possible?
Prediction: New forms of misuse will continue to surface as use ramps up. There will be a few standout examples, possibly involving electoral manipulation.
Will we come to grips with its costs (energy bill)?
Prediction: Greater public awareness of the labor and environmental costs of AI will put pressure on tech companies. But don’t expect significant improvement on either front soon.
Will fear of AI continue to dominate policymaking?
Prediction: The fearmongering will die down, but the influence on policymakers’ agendas may be felt for some time. Calls to refocus on more immediate harms will continue.
Read MIT Tech Review publication here.