Navigating Innovation Responsibly with Data and AI Ethics
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Define the difference between morals, ethics and law
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Explain why data ethics applies to more than just the use of data
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Apply the data ethics canvas to evaluate projects involving data
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Make a number of recommendations to improve the ethical handling of data
Overview
Off the shelf (OTS)
Data ethics is a rapidly emerging area. Increasingly, those collecting, sharing and working with data are exploring the ethics of their practices and, in some cases, being forced to confront those ethics in the face of public criticism. A failure to handle data ethically can harmfully impact people and lead to a loss of trust in projects, products or organisations.
This course will help drive responsible innovation by equipping participants with the knowledge and tools needed to navigate the ethical challenges associated with data collection, sharing, and use, particularly in the context of AI technologies.
By covering the importance of data ethics, the relationship between ethics and law, and the impact of legal structures on data products and services, the course enables participants to critically analyse new innovations and data projects for both intended and unintended consequences. This comprehensive understanding allows participants to evaluate ethical challenges effectively and develop awareness of the potential impacts on public services.
By fostering a balance between innovation and ethical responsibility, the course ensures that data-driven solutions are implemented transparently and equitably, ultimately enhancing public trust and driving sustainable, responsible innovation within the civil service.
Delivery method
Virtual
Course duration
3 hours
Competency level
Working

