independently of the intentions of the data scientists and engineers programming the software.
Discriminatory impacts are just one ethical nightmare to avoid with AI. There are also privacy concerns, the danger of AI models being used to manipulate people, the environmental cost of the massive computing power required, and countless other use-case-specific risks.The details of quantum computers are exceedingly complicated, but for our purposes, we need to know only that they are computers that can process a tremendous amount of data.
That leads to a litany of ethical questions: Under what conditions can we trust the outputs of a black box model? What are the appropriate benchmarks for performance? What do we do if the system appears to be broken or is acting very strangely? Do we acquiesce to the inscrutable outputs of the machine that has proven reliable previously? Or do we eschew those outputs in favor of our comparatively limited but intelligible human reasoning?Suppose you and I and a few thousand of our friends each...
Blockchain is most often associated with financial services, but every industry stands to integrate some kind of blockchain solution, each of which comes with particular pitfalls. For instance, we might use blockchain to store, access, and distribute information related to patient data, the inappropriate handling of which could lead to the ethical nightmare of widescale privacy violations.