Summary
In this section, we recognized the increasing prominence of generative AI and explored the ethical considerations that should steer its progress. We outlined key concepts such as transparency, fairness, accountability, respect for privacy, informed consent, security, and inclusivity, which are essential to the responsible development and use of these technologies.
We reviewed strategies to attempt to counter these biases, including human-aligned training techniques and practical application-level measures against susceptibilities such as jailbreaking. In sum, we explored a multidimensional and human-centered approach to generative AI adoption.
Having completed our foundational exploration of generative AI, we can now reflect on our journey. We began by laying the groundwork, examining foundational generative architectures such as generative adversarial networks (GANs), diffusion models, and transformers.
Chapters 2 and 3 guided us through the evolution of language...
