AI Ethics and whether you ought to have a legal right to know of AI inferences about you, a topic even of concern when it comes to AI-based self-driving cars.
As you might directly guess, trying to pin down the specifics underlying these principles can be extremely hard to do. Even more so, the effort to turn those broad principles into something entirely tangible and detailed enough to be used when crafting AI systems is also a tough nut to crack.
ML/DL is a form of computational pattern matching. The usual approach is that you assemble data about a decision-making task. You feed the data into the ML/DL computer models. Those models seek to find mathematical patterns. After finding such patterns, if so found, the AI system then will use those patterns when encountering new data. Upon the presentation of new data, the patterns based on the “old” or historical data are applied to render a current decision.
You could somewhat use the famous or infamous adage of garbage-in garbage-out. The thing is, this is more akin to biases-in that insidiously get infused as biases submerged within the AI. The algorithm decision-making of AI axiomatically becomes laden with inequities.There are a handful of proposed AI inference pertinent data-related legal rights that some assert should be codified into our laws.
As with any such legal matter, you would be wise to consult with a versed attorney on such matters for insights on the topic. There are also plenty of online analyses about the OAG published opinion. The responses range from buoyant optimism to disappointment that the allowance for exceptions and other conditions could water things down.
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