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AI and Academic Research: A Guide

A guide exploring the intersection of AI and research

A to Z of Ethical Considerations of Using AI Models

Accountability
Determining responsibility for AI-driven decisions and actions can be challenging, especially in cases of error or harm.

Authority
AI models cannot legally "author" content. Researchers should cite how they use AI in their academic work. 

Autonomy and human agency
As AI becomes more advanced, there are concerns about maintaining human control and decision-making power.

Bias and fairness
AI models can perpetuate or amplify existing societal biases present in their training data, leading to unfair or discriminatory outcomes.

Copyright
AI models are trained on datasets that may include copyrighted materials without explicit permission. This raises concerns about whether the use of such data constitutes copyright infringement.

Environmental impact and nuclear energy
Training large AI models and use of AI technology requires significant computational resources, contributing to energy consumption and carbon emissions. Amazon, Google, and Microsoft all are inking deals with nuclear energy providers to meet surging demand for data centers and artificial intelligence.

Inequality
Access to AI technologies and their benefits may not be evenly distributed, potentially exacerbating existing societal inequalities.

Job displacement
AI automation may lead to significant changes in the job market, potentially causing unemployment in certain sectors.

Misinformation and manipulation
AI can be used to create convincing fake content or manipulate information, posing risks to public discourse and trust.

Privacy and data protection
Input of user-provided data may be retained and used in training, which raises concerns about individual privacy and data security.

Safety and reliability
Ensuring AI systems behave safely and reliably, especially in critical applications like healthcare or autonomous vehicles, is crucial.

Transparency and explainability
Many AI models, especially deep learning systems, operate as "black boxes," making it difficult to understand how they arrive at decisions.

 

 

Sources

"Google Signs Nuclear Deal." prompt, Perplexity, Perplexity, 16 Oct. 2024, https://www.perplexity.ai
"What are the copyright concerns for using AI in academic work?" prompt, ChatGPT, OpenAI, 16 Oct. 2024, https://chatgpt.com/
“What are the ethical concerns associated with using Al models?" prompt. Claude, Anthropic, 16 Oct. 2024, https://claude.ai/ 

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