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Towards generalisable hate speech detection: a review on obstacles and solutions
Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …
towards a group or an individual member based on their actual or perceived aspects of …
Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
Sparks of artificial general intelligence: Early experiments with gpt-4
S Bubeck, V Chandrasekaran, R Eldan… - ar** and refining large language
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
models (LLMs) that exhibit remarkable capabilities across a variety of domains and tasks …
Should chatgpt be biased? challenges and risks of bias in large language models
As the capabilities of generative language models continue to advance, the implications of
biases ingrained within these models have garnered increasing attention from researchers …
biases ingrained within these models have garnered increasing attention from researchers …
Taxonomy of risks posed by language models
Responsible innovation on large-scale Language Models (LMs) requires foresight into and
in-depth understanding of the risks these models may pose. This paper develops a …
in-depth understanding of the risks these models may pose. This paper develops a …
Teaching English in the age of AI: Embracing ChatGPT to optimize EFL materials and assessment
The sudden spike of artificial intelligence (AI) technologies has had and continues to have a
transformative impact on various domains, including education. The advent of AI-powered …
transformative impact on various domains, including education. The advent of AI-powered …
Ethical and social risks of harm from language models
This paper aims to help structure the risk landscape associated with large-scale Language
Models (LMs). In order to foster advances in responsible innovation, an in-depth …
Models (LMs). In order to foster advances in responsible innovation, an in-depth …
The capacity for moral self-correction in large language models
We test the hypothesis that language models trained with reinforcement learning from
human feedback (RLHF) have the capability to" morally self-correct"--to avoid producing …
human feedback (RLHF) have the capability to" morally self-correct"--to avoid producing …
The gradient of generative AI release: Methods and considerations
As increasingly powerful generative AI systems are developed, the release method greatly
varies. We propose a framework to assess six levels of access to generative AI systems: fully …
varies. We propose a framework to assess six levels of access to generative AI systems: fully …
Evaluating the social impact of generative ai systems in systems and society
Generative AI systems across modalities, ranging from text (including code), image, audio,
and video, have broad social impacts, but there is no official standard for means of …
and video, have broad social impacts, but there is no official standard for means of …