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There is a pressing need to clarify accountability in cases of errors or unintended consequences.
CTO International at Pure Storage.
What is ethical AI?
Transparency and accountability are essential for building trust in AI technologies and mitigating potential harms.
Insight into an AI models mechanics including the data used to train it before it is applied is essential.
In the UK for example, the Information Commissioners Office has produced useful guidelines for ensuring transparency in AI.
The need for data stewardship and transparency on sourcing and consent practices is fundamental.
After all, organizations and commercial enterprises are a part of society not separate from it.
The development of globally agreed ethical standards for AI is paramount.
As the technology becomes ever more integrated internationally, finding workable solutions in this area will clearly be important.
Yet, there are substantial obstacles to implementation, given divergent societal and legal views.
Any legislation resulting from regulatory decisions on AI must address concerns regarding liability.
International cooperation will be crucial, as AI technologies are inherently global.
Looking to international precedents like maritime law for universal standards is potentially a good starting point.
International agreements are also likely to take considerable time to be drafted and implemented.
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