What is your stance on ethics as applied to different technologies? Do you think the same ethical foundation should be used across all tech, or does it change depending on the technology you are looking at?

Ethics should be the unwavering compass guiding all technological advancements, but its application must be contextually nuanced. While the foundational principles of fairness, transparency, and accountability remain universal, the ethical framework needs to adapt to the specific nature, potential risks, and societal impact of each technology. For instance, ethical considerations in AI, like bias and decision explainability, differ significantly from those in quantum computing, where data security and cryptographic implications take precedence.

As I often emphasize, Technology doesn't exist in a vacuum---its purpose and impact define its ethical boundaries.' A flexible yet robust ethical approach ensures technology serves humanity without compromising trust or values.

Certain core ethical principles, such as accountability, privacy, and fairness, generally apply to all technologies when delivering products or services to consumers and society. However, additional ethical concerns arise depending on the context in which the technology is used and the demographic it impacts.

Furthermore, as advanced and cutting-edge technologies evolve, their societal impact may change, necessitating updates to the ethical framework. For instance, artificial intelligence and machine learning require special considerations for issues like bias, transparency, implications for the labor economy, and intellectual property rights. In contrast, biotechnology demands special considerations around consent and the moral implications of genetic modifications.