- Machine Learning and the Multiagent Alignment Problem🔍
- Aversion to external feedback suffices to ensure agent alignment🔍
- Publications🔍
- What Is The Alignment Problem? Alignment Problem In A Nutshell🔍
- The Alignment Problem. Brian Christian on humanity's greatest…🔍
- Understanding the AI alignment problem🔍
- The Alignment Problem – Machine Learning and Human Values🔍
- AI's Conscience🔍
The alignment problem from a deep learning perspective
Machine Learning and the Multiagent Alignment Problem
This dissertation focuses on an often overlooked but critically important complication to the alignment problem: Socially-consequential AI systems affect their ...
Aversion to external feedback suffices to ensure agent alignment
Ensuring artificial intelligence behaves in such a way that is aligned with human values is commonly referred to as the alignment challenge.
The alignment problem from a deep learning perspective · We argue that AGIs trained in similar ways as ...
What Is The Alignment Problem? Alignment Problem In A Nutshell
The alignment problem was popularised by author Brian Christian in his 2020 book The Alignment Problem: Machine Learning and Human Values.
The Alignment Problem. Brian Christian on humanity's greatest…
... problems in data science and machine learning, hosted by Jeremie Harris ... Brian's perspective on the alignment problem links together ...
Understanding the AI alignment problem - TechTalks
In The Alignment Problem, Christian goes through many examples where machine learning algorithms have caused embarrassing and damaging failures.
This book deals with the alignment problem analyzed in different perspectives over time while scaling out its abstraction and complexity. Being an IT person, I ...
AI's Conscience: A Deep Dive into 'The Alignment Problem' by Brian ...
While delving into technology and ethics, this book explores the alignment problem, a pivotal issue within machine learning. This problem ...
Incentive alignment problems - Dan MacKinlay
Ngo, Chan, and Mindermann. 2024. “The Alignment Problem from a Deep Learning Perspective.” Nowak. 2006. “Five Rules for the Evolution of ...
Current cases of AI misalignment and their implications for future risks
In thinking about the alignment problem, we can focus on (i) the aligned, i.e., the persons AI should be aligned with and (ii) the property of ...
Richard Ngo - Google Scholar
The alignment problem from a deep learning perspective. R Ngo, L Chan, S Mindermann. arXiv preprint arXiv:2209.00626, 2022. 164, 2022 ; Avoiding side effects by ...
The Alignment Problem Summary and Study Guide - SuperSummary
The Alignment Problem presents a nuanced discussion of how machine learning algorithms and neural network models can sometimes diverge from human ethical ...
Introductory Resources on AI Risks - Future of Life Institute
Richard Ngo, Lawrence Chan, Sören Mindermann (2022) — The alignment problem from a deep learning perspective; Karina Vold and Daniel R ...
THE ALIGNMENT PROBLEM: Machine Learning and Human Values.
The "alignment problem" in the title refers to the disconnect between what AI does and what we want it to do. In Christian's words, it is the disconnect between ...
Week 2: Alignment - Risks and Benefits of Generative AI and LLMs
Alignment is a multifaceted problem, that involvess various factors and considerations to ensure that AI systems behave in ways that align with ...
New Perspectives on AI Alignment - Academia.edu
It also demands a new understanding of AI as a socio-technical network, not a machine, a stand-alone entity. The alignment problem has three levels: technical ...
In-Context Learning: An Alignment Survey - LessWrong
The survey finds that much of the work can be argued as negative from the perspective of alignment, given that most work pushes model ...
"The Alignment Problem: Machine Learning and Human Values" by ...
“The Alignment Problem: Machine Learning and Human Values” by Brian Christian – Review and Commentary – Part 2 ... See Part 1 of the review here.
The Alignment Problem - LinkedIn
Mitigation Strategies: Implementing "fairness-aware" machine learning techniques can help in reducing discrimination while preserving model ...
Why AI alignment could be hard with modern deep learning
The deep learning alignment problem is the problem of ensuring that advanced deep learning models don't pursue dangerous goals.