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AI and responsibility: Who is accountable for AI’s bad decisions
No one particularly wants to be responsible for a bad decision, whether that be a car accident, a misdiagnosis, or providing an unaffordable loan.
However, AI adoption means that human and machine decision making are becoming increasingly bound up together. Though in some fields like medicine and transport AI is being found to make better decisions than trained experts, it can be very hard to allocate blame when things go wrong.
Earlier this year, new proposals from the UK’s Law Commissions suggested that the person in the driving seat of an automated vehicle would no longer be responsible for how the car drives.
If organisations want to use AI, they will increasingly need to be able to decide who to blame if things go amiss, or at least explain how these decisions work.
To discuss these issues, Will McCurdy, content editor of National Technology News spoke to Maximilian Kiener, Leverhulme Early Career Fellow at the University of Oxford Faculty of Philosophy Institute for Ethics in AI.
However, AI adoption means that human and machine decision making are becoming increasingly bound up together. Though in some fields like medicine and transport AI is being found to make better decisions than trained experts, it can be very hard to allocate blame when things go wrong.
Earlier this year, new proposals from the UK’s Law Commissions suggested that the person in the driving seat of an automated vehicle would no longer be responsible for how the car drives.
If organisations want to use AI, they will increasingly need to be able to decide who to blame if things go amiss, or at least explain how these decisions work.
To discuss these issues, Will McCurdy, content editor of National Technology News spoke to Maximilian Kiener, Leverhulme Early Career Fellow at the University of Oxford Faculty of Philosophy Institute for Ethics in AI.
Bringing Teams to the table – Adding value by integrating Microsoft Teams with business applications
A decade ago, the idea of digital collaboration started and ended with sending documents over email. Some organisations would have portals for sharing content or simplistic IM apps, but the ways that we communicated online were still largely primitive.
Automating CX: How are businesses using AI to meet customer expectations?
Virtual agents are set to supplant the traditional chatbot and their use cases are evolving at pace, with many organisations deploying new AI technologies to meet rising customer demand for self-service and real-time interactions.
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