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The Complexities of Ethics and AI — Gary Explains
AndroidAuthority,Android,Ethics,morality,ai,artificial intelligence,gary explains
Read more: | AI ethics ranges all the way from how we should use AI, to biases and creator accountability, right through to the very nature of how we should value and treat all types of intelligence.
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#Complexities #Ethics #Gary #Explains
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Dear Gary, have you seen Exynos 9810 benchmark results? What are your opinions about it.
Thank you so much for your awesome videos ♥
👍👍👍
Can we have reserve / fund for such a error caused by the AI while handling monetary policy or money related application.
So if anyone loses money because of AI, so can be compensated depending on need and risk involved. And we also have penalties for AI like in reinforced learning.
Your explanations are too long
Roboethics always get me excited.
You remind me of my lecturer.. I got nothing
Of course the risk of liability should be on the company who made Ai. It’s just the risk that they have to make
AI says .. “you’re going to die .. AI Driving disengaged” .. “you have 500 ms to take the wheel” .. “Have a nice day!” BOOM! Your fault!
People will hate AI making so called judgement calls, probably to the point of not allowing it long-term i.e. blowback from short-term trials. Sorry .. but have you been part of the human race? There is no fairness in reality, there is no true objectivity to people especially in value. Today judgement as such is made by essentially your financial situation and not need, it’s getting worse, and anyone or thing challenging that rudimentary fact is bound to absolute failure.
On point topic.
Thank you Gary!
Hi Gary. Very nice explained 🤩
Sooo early
Quite scary tbh
It’s just a calculator at it’s most basic level. 2+2 = 4 doesn’t really require ethics.
Really valuble information garry
Gary Sims, AKA “The guy you actually learn something from on Youtube”
iRobot? i think that was the main point of the movie
6:43
hahaha excellent
Deep indeed!!! Tanq dear Gary — our Professor.
He is not gay!
Near to 3 million
Awesome video 👍
Thoughtful presentation. One tangential thought on fairness. People, regardless of age, tend to bias the idea of fairness with the fact that they did not get what they wanted. I found it useful to ask employees, who complained that some situation wasn’t fair, if the situation was equitable. That question tended to remove the emotional component of the fairness question and was helpful addressing issues more objectively. Sometimes semantics is not merely quibbling. Anyhow, just a random thought.
it’s cold yeh. hehe
Another home run for the professor. Keep them coming!!
Thank you, Gary, future looks entirely dystopian to me.
Very thoughtful examples vs. everyone else resorts to generalisations! Thanks for sharing them!
Dad?
Is there anything Gary doesn’t know? Genius!
GARY!!! MORNING PROFESSOR!!!
Sorry I’m late for class, but my work schedule is very weird these days.
but how do u teach a robot to be ethical or not?
Please make more videos, please do👍👏
Demand on apparent era finger elegant fact appreciate civil.
Very well put the point. As a software developers, It’s our responsibility we right the AI and ML softwares more ethically then just keeping them in data driven.
Q:
- How do you define a problem?