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"In a sharply worded warning, the cancer experts say that 'novel solutions' such as new diagnostic tests have been wrongly hyped as 'magic bullets' for the cancer crisis, but 'none address the fundamental issues of cancer as a systems problem'. A 'common fallacy' of NHS leaders is the assumption that new technologies can reverse inequalities, the authors add. The reality is that tools such as AI can create 'additional barriers for those with poor digital or health literacy'. 'We caution against technocentric approaches without robust evaluation from an equity perspective,' the paper concludes."

""Most of us anganwadi workers don't have enough education to understand these apps," she added. "We don't get enough network in the village to use them, and we don't earn enough to recharge the phone on time. So what is the point?""

"In many ways, we've barely even scratched the surface of AI and what it can do. In recent times, we have seen both positive and negative implications. However, like many great innovations, it's important to remember that just because we can, doesn't mean that we ought to do it. Here are some examples of how AI can bring out ethical dilemmas."

"The problem with digital technology is that, for engineers, it is both intrinsically fascinating and seductively challenging, which means that they acquire a kind of tunnel vision: they are so focused on finding solutions to the technical problems that they are blinded to the wider context. At the moment, for example, the consensus-establishing processes for verifying blockchain transactions requires intensive computation, with a correspondingly heavy carbon footprint. Reducing that poses intriguing technical challenges, but focusing on them means that the engineering community isn't thinking about the governance issues raised by the technology. There may not be any central authority in a blockchain but, as Vili Lehdonvirta pointed out years ago, there are rules for what constitutes a consensus and, therefore, a question about who exactly sets those rules. The engineers? The owners of the biggest supercomputers on the chain? Goldman Sachs? These are ultimately political questions, not technical ones."