Artificial Intelligence: Advances, Ethics, and Strategies by James M. Nichols PDF

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Artificial Intelligence: Advances, Ethics, and Strategies by James M. Nichols PDF

The field of Artificial Intelligence (AI) is rapidly evolving, and one of the most exciting developments in recent years has been the emergence of generative models. These models have shown the ability to produce human-like language and even generate images, videos, and music. While the potential applications of generative models are vast and impressive, there are also serious concerns about the ethical implications of their use. As the potential of AI and generative models is explored, it is essential to consider the impact they may have on society. Generative Artificial Intelligence (GenAI) refers to AI systems, in particular those using Machine Learning (ML) and trained on large volumes of data, that are able to generate new content. In contrast, other AI systems may have a primary goal of classifying data, such as facial recognition image data, or making decisions, such as those used in autonomous vehicles. GenAI systems, when prompted (often by a user inputting text), can create various outputs, including text responses (e.g., OpenAI’s ChatGPT and Google’s Bard), images (e.g., Stability AI’s Stable Diffusion and Midjourney’s self-titled program), videos, computer code, or music.

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