Paul HealeyConsider the freedom to be more or less of a moral agent in the age of LLM’s Pandora’s box: [@angusm](https://mastodon.social/@angusm) A professional programmer told me that there is no learning with Ai when I referred to training and target sets. After much more research I would go further; the use of statistics and probabilities has created a culture that favours mimicry and reinforcing bias. There is no moral decision making taking place, only a fascist rational to increase shareholder profits. That is why those like Thiel who depend on Ai projects like Titan having inflated share values are so dangerous. Despite that there is no reason I can think of why Algorithmic Hueristics cannot be designed to make morally rational decisions. Ask what does it mean to be intelligent? #LLM #Ai [\#Ai](https://universeodon.com/tags/Ai) [\#ImmoralAi](https://universeodon.com/tags/ImmoralAi) [\#MoralAi](https://universeodon.com/tags/MoralAi)
@angusm A professional programmer told me that there is no learning with Ai when I referred to training and target sets. After much more research I would go further; the use of statistics and probabilities has created a culture that favours mimicry and reinforcing bias. There is no moral decision making taking place, only a fascist rational to increase shareholder profits. That is why those like Thiel who depend on Ai projects like Titan having inflated share values are so dangerous. Despite that there is no reason I can think of why Algorithmic Hueristics cannot be designed to make morally rational decisions. Ask what does it mean to be intelligent? #Ai #ImmoralAi #MoralAi
Theo ParkWhat do disabilities, religious expression, AI, and governance have in common? In this article, I share why I am "hung up on preservation of agency", what it means to do so, and the implications of not doing so. Join me for a walk as we explore Kant, freedom of religion, and the preservation of our agentic capacity.
Check out my article on my Substack.
https://theodorejbpark.substack.com/
#AIEthics #MoralAI #DisabilityRights #Philosophy #ResponsibleAI #Techforgood #AI #Ethics #Substack
I posted my first official article on Substack, discussing AI ethics and moral philosophy by centring the conversation around Schrödinger's Cat and Multiple Observers. I was hoping you could take a read. I would appreciate hearing your thoughts!
#AIEthics #Techforgood #MoralAI #SERAA
https://theodorejbpark.substack.com/p/multiple-observers-of-schrodingers
Jason WeillCongrats to @conitzer, a former coworker, on "Moral AI: And How We Get There", the #1 new release in science and mathematics ethics! https://amzn.to/3UpTJ3o
Victoria Stuart 🇨🇦 🏳️⚧️Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory
https://arxiv.org/abs/2306.11432
Moral AI has been studied in philosophy, artificial intelligence. Although most existing studies are only theoretical, recent developments in AI have made it increasingly necessary to implement AI w. morality. On the other hand, humans are under the moral uncertainty of not knowing what is morally right
#MoralAI #AI #morality #ethics #ArtificialIntelligence #MachineLearning
Towards Theory-based Moral AI: Moral AI with Aggregating Models Based on Normative Ethical Theory
Moral AI has been studied in the fields of philosophy and artificial intelligence. Although most existing studies are only theoretical, recent developments in AI have made it increasingly necessary to implement AI with morality. On the other hand, humans are under the moral uncertainty of not knowing what is morally right. In this paper, we implement the Maximizing Expected Choiceworthiness (MEC) algorithm, which aggregates outputs of models based on three normative theories of normative ethics to generate the most appropriate output. MEC is a method for making appropriate moral judgments under moral uncertainty. Our experimental results suggest that the output of MEC correlates to some extent with commonsense morality and that MEC can produce equally or more appropriate output than existing methods.