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Everyone read this pdf, then choose 2 other articles to read and answer the questions below:

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Everyone read this pdf, then choose 2 other articles to read and answer the questions below:

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What are some key takeaways from the article?
How was AI involved?

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New research shows our mental well-being drives our decisions at the ballot box.

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Patient data from just three states trains most AI diagnostic tools.

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Using AI to Detect Seemingly Perfect Deep-Fake Videos

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But a Stanford professor says the cat-and-mouse game is far from over.

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Coded Bias: Director Shalini Kantayya on Solving Facial Recognition's Serious Flaws

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We need 'guidelines around transparency and laws that balance Big Tech's power.'

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How the Pandemic Could Usher in the Era of Plug-and-Play Robots

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Advanced robots seem to offer the ultimate in social distancing, but companies that might use them need systems that are simpler, easier, and more flexible.

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Scientists have created a relatively successful detection algorithm for lip-syncing deep fakes, but maintain that the only long-term solution is improving technological literacy

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AI will slowly get better over time and sooner or later people will not be able to recognize what was made by an AI or what is real.

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This is the problem with the types of networks used in deepfakes, called GANs. They have two neural networks, a generator and a discriminator, and the goal is for the generator to create a convincing enough deepfake to confuse the discriminator (make it think that it's actually a real face). When both networks improve (at generating and judging, respectively), it makes the deepfake extremely realistic.

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Health care AI uses data from only a few states, which could potentially lead to these algorithms underperforming for people who live in other states.

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Plug-and-play robots (or modular robots with generally limited, non-adaptive algorithms) have experienced a surge in sales due to Covid offsetting the installation cost.

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Interpretability of AI is a big problem, because what essentially happens is a bunch of higher dimensional math, which to us is just a black box. The problem is that we really don't know where the bias is coming from, because often times it is so deeply engrained in society that we only notice it in instances like this with AI.