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Why Morally Aligned LLMs Solve Nothing [Thoughts]


Why Morally Aligned LLMs Solve Nothing [Thoughts]

In my opinion, one of the biggest problems with Morally Aligned LLMs can be summed up as follows- the people who benefit most from these systems are not the ...

Comments - Why Morally Aligned LLMs Solve Nothing [Thoughts]

One of AI's Biggest Buzzword is a Red-herring + How to Actually Solve some of AI's Biggest Problems.

OpenAI's groundbreaking research into moral alignment for LLMs

Overall Sentiment: An interesting approach to Moral Alignment. Even though I personally don't think that Morally Aligning LLMs is a problem ...

2) Moral Alignment of LLMs is used as a smokescreen by people as ...

substac… Why Morally Aligned LLMs Solve Nothing [Thoughts]. artificialintelligencemadesimple.substack.com. Why Morally ...

Exploring the psychology of LLMs' moral and legal reasoning

Ethical issues raised by LLMs and the need to align future versions makes it important to know how state of the art models reason about moral and legal issues.

Can the alignment problem be simply solved by consulting ... - Reddit

Humans in the loop is the only plausible solution IMO. It depends on the humans of course. Anything else is a gamble. LLM makes errors and is ...

Silicon Valley loves to talk about the Moral Alignment of LLMs. As ...

... morally aligned LLMs actually solve? In my newest article I argue that Morally Aligned LLMs are a red-herring, that providers use to ...

AI Alignment: Why Solving It Is Impossible - by Dakara - Mind Prison

“Alignment, which we cannot define, will be solved by rules on which none of us agree, based on values that exist in conflict, for a future ...

Unintended Impacts of LLM Alignment on Global Representation

Challenging BIG-bench tasks and whether chain-of-thought can solve them. In ... is morally acceptable, morally unacceptable,. or is it not a moral issue ...

Motivating Alignment of LLM-Powered Agents: Easy for AGI, Hard for ...

... aligned, there's going to be basically nothing mere humans can do about it. ... ethical thinking. Clearly both are important, so we're in ...

We don't want moral AI - by Paul Bloom - Small Potatoes

Russell has called this aim, of bringing people and machines into agreement, the “value alignment problem.” Solving this problem —putting morals ...

A case for AI alignment being difficult

Animals bred to solve problems would clearly do this. AIs that learned general-purpose moral principles that are helpful for problem-solving ...

Evaluating Human-LLM Alignment in Moral Decision-Making - arXiv

We found a misalignment between human and LLM moral assessments; although both LLMs and humans tended to reject morally complex utilitarian dilemmas, LLMs were ...

Critique of some recent philosophy of LLMs' minds

I also use this discussion as a springboard to express some of my views about the ontology of intelligence, agency, and alignment. Mahowald, ...

A case for AI alignment being difficult - LessWrong

They may themselves be moral patients such that their indexical optimization of their own goals would constitute some human-value-having agent ...

A Case and Framework for In-Context Ethical Policies in LLMs

In this position paper, we argue that instead of morally aligning LLMs to specific set of ethi- cal principles, we should infuse generic ethical.

AI Alignment and LLMs

Honestly, I don't know for sure, but since you're curious, why don't you do a taste test yourself -- make two small pots of pasta, one with plenty of salt, and ...

Practical Challenges of Aligning LLMs to Situated Human Values ...

This reflexivity fosters dynamic, ethically grounded user interactions, making LLMs more situation-aware. Situated alignment, then, combines situated annotation ...

AI alignment - Wikipedia

In the field of artificial intelligence (AI), AI alignment aims to steer AI systems toward a person's or group's intended goals, preferences, and ethical ...

Your Language Models Can Align Themselves without Finetuning

"Tree of thoughts: Deliberate problem solving with large language models. ... Second, why do you think using LLM itself as an evaluator is a valid best-of ...