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From human writing to artificial intelligence generated text: examining the prospects and potential threats of ChatGPT in academic writing
Natural language processing (NLP) has been studied in computing for decades. Recent
technological advancements have led to the development of sophisticated artificial …
technological advancements have led to the development of sophisticated artificial …
Supporting Human-AI Teams: Transparency, explainability, and situation awareness
Abstract System autonomy and AI are being developed for a wide variety of applications
where they will likely work in tandem with people, forming human-AI teams (HAT). Situation …
where they will likely work in tandem with people, forming human-AI teams (HAT). Situation …
Behavior-1k: A benchmark for embodied ai with 1,000 everyday activities and realistic simulation
We present BEHAVIOR-1K, a comprehensive simulation benchmark for human-centered
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
robotics. BEHAVIOR-1K includes two components, guided and motivated by the results of an …
Methods for detecting and classifying weeds, diseases and fruits using AI to improve the sustainability of agricultural crops: a review
The rapid growth of the world's population has put significant pressure on agriculture to meet
the increasing demand for food. In this context, agriculture faces multiple challenges, one of …
the increasing demand for food. In this context, agriculture faces multiple challenges, one of …
Digital government transformation in turbulent times: Responses, challenges, and future direction
We are living in turbulent times, with the threats of COVID-19 and related social conflicts.
Digital transformation is not an option but a necessity for governments to respond to these …
Digital transformation is not an option but a necessity for governments to respond to these …
The effects of reward misspecification: Map** and mitigating misaligned models
Reward hacking--where RL agents exploit gaps in misspecified reward functions--has been
widely observed, but not yet systematically studied. To understand how reward hacking …
widely observed, but not yet systematically studied. To understand how reward hacking …
Reinforcement learning in practice: Opportunities and challenges
Y Li - arxiv preprint arxiv:2202.11296, 2022 - arxiv.org
This article is a gentle discussion about the field of reinforcement learning in practice, about
opportunities and challenges, touching a broad range of topics, with perspectives and …
opportunities and challenges, touching a broad range of topics, with perspectives and …
[HTML][HTML] Programming with ChatGPT: How far can we go?
Artificial intelligence (AI) has made remarkable strides, giving rise to the development of
large language models such as ChatGPT. The chatbot has garnered significant attention …
large language models such as ChatGPT. The chatbot has garnered significant attention …
Artificial intelligence (AI) in Islamic ethics: Towards pluralist ethical benchmarking for AI
This paper explores artificial intelligence (AI) ethics from an Islamic perspective at a critical
time for AI ethical norm-setting. It advocates for a pluralist approach to ethical AI …
time for AI ethical norm-setting. It advocates for a pluralist approach to ethical AI …
Artificial intelligence and the disruption of higher education: Strategies for integrations across disciplines
Artificial intelligence (AI) and its impact on society have received a great deal of attention in
the past five years since the first Stanford AI100 report. AI already globally impacts …
the past five years since the first Stanford AI100 report. AI already globally impacts …