ethics in ai deployment
In Stanford’s latest “AI Index Report 2023”, the era of AI deployment is in full swing, with the regular release of new large-scale AI models throughout 2022 and early 2023. Models like ChatGPT, Stable Diffusion, Whisper, and DALL-E 2 have emerged, showcasing their diverse capabilities in tasks ranging from text analysis to image generation and highly accurate speech recognition. These systems exhibit remarkable abilities in question answering, text generation, image creation, and code generation, surpassing what was imaginable a decade ago and outperforming previous benchmarks.
However, it's important to note that they have certain limitations, including a tendency to produce hallucinations, biases, and susceptibility to manipulation for malicious purposes. These challenges underscore the complex ethical considerations surrounding their deployment. While it is tempting to anthropomorphize these technologies by using terms like "hallucination," it is important to approach them with a clear understanding of their capabilities and limitations, in order to effectively harness their technical power and integrate them into the human-machine team.