Sasha Luccioni discusses the immediate, tangible impacts of AI on society and the environment, emphasizing the need for transparency, sustainability, and ethical considerations in AI development. She highlights the environmental costs of training AI models, the unauthorized use of artists' work, and the biases embedded in AI systems, advocating for tools and regulations to mitigate these issues.

The chapter discusses the dual nature of AI, highlighting both its groundbreaking advancements and its potential risks, particularly its environmental impact. The author emphasizes the need for transparency, sustainability, and ethical considerations in AI development, citing tools like CodeCarbon and initiatives like BigScience to mitigate these issues.

The chapter discusses the pervasive issue of bias in AI models, highlighting real-world consequences such as wrongful accusations and imprisonment. It also introduces tools like the Stable Bias Explorer and "Have I Been Trained?" to help understand and mitigate these biases, emphasizing the need for accessible AI and informed legislation.