Ethics and AI

With the value of real-time data access so evident during this pandemic, the conversation on AI has become amplified X-fold across healthcare systems, Research, and Pharma (‘Healthcare’). Great news for many among you. But you can make an even deeper contribution by committing to the drive for ethics.

Ethics relates to how, in the absence of any framework, all stakeholders can work to set clear parameters on the safe adoption and integration of AI – to build towards consistency across real-world settings (clinical and in the community), discovery research, and smart city design.

No-one is suggesting that tech solutions have been sold on hype. But since regulators are deemed to not yet have all of the appropriate skills to evaluate good AI, Healthcare is taking ownership, to scrutinise validity and tech impact across the AI life cycle.

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The Quantum Leap for Mankind that Healthtech Incumbents Must Make | Part 2: Delivering Trusted Experiences with Federated Learning

Trust By Design

AI has underwhelmed Healthcare to-date, provoking more than encouraging. But a deep learning paradigm, Federated Learning (FL), offers the framework that Healthcare needs to overcome trust deficits, harness data silos, and embed privacy and security. At scale and pace. The game changer? Healthcare is orchestrating this shift, aided by a new breed of healthtech bellwethers. As incumbent healthtechs, more of you now need to prepare for the direct and indirect impact on your portfolios.   

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The Quantum Leap for Mankind that Healthtech Incumbents Must Trigger – Part 1 | Tapping into Adjacent Sectors

Healthtech incumbents, I hate to cloud your moment in the sun. Healthcare remains on the brink. Pushing it to ‘ride the waves of digital disruption’ won’t cut it anymore.

Amid all the talk of reimagining, I see little from you to inspire. If we continue at this pace, every aspect of transformation will seem like a moonshot.

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