8 citations · 12 across the 5 of their papers we have counts for
5 papers
Stop treating `AGI' as the north-star goal of AI research
Borhane Blili-Hamelin, Christopher Graziul, Leif Hancox-Li +13
The AI research community plays a vital role in shaping the scientific, engineering, and societal goals of AI research. In this position paper, we argue that focusing on the highly…
Is ETHICS about ethics? Evaluating the ETHICS benchmark
Leif Hancox-Li, Borhane Blili-Hamelin
ETHICS is probably the most-cited dataset for testing the ethical capabilities of language models. Drawing on moral theory, psychology, and prompt evaluation, we interrogate the va…
Unsocial Intelligence: an Investigation of the Assumptions of AGI Discourse
Borhane Blili-Hamelin, Leif Hancox-Li, Andrew Smart
Dreams of machines rivaling human intelligence have shaped the field of AI since its inception. Yet, the very meaning of human-level AI or artificial general intelligence (AGI) rem…
The Disagreement Problem in Faithfulness Metrics
Brian Barr, Noah Fatsi, Leif Hancox-Li +3
The field of explainable artificial intelligence (XAI) aims to explain how black-box machine learning models work. Much of the work centers around the holy grail of providing post-…
Making Intelligence: Ethical Values in IQ and ML Benchmarks
Borhane Blili-Hamelin, Leif Hancox-Li
In recent years, ML researchers have wrestled with defining and improving machine learning (ML) benchmarks and datasets. In parallel, some have trained a critical lens on the ethic…