Focus for the month: Legal (Centred on Data Analytics and AI-driven Law).

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Topic of the week:

This month, we're diving into the legal aspects of the?#FutureOfWork, with a spotlight on?#AI?and data analytics this week.??

AI systems can inherit societal biases, which seep into the data used to train AI models. These biases risk inaccurate outcomes and rights violations, especially in non-discrimination.

?Indeed, when a specific job role has historically favoured one gender, AI algorithms might perpetuate this gender disparity. Data often mirrors entrenched biases, perpetuating discrimination.

Ensuring priority for high-quality data and keeping things transparent is critical to avoid breaches. Using discrimination-free algorithms to kick biases out of AI systems is crucial. Checking in regularly and tackling biases during AI operations helps keep things fair.?

?However, under GDPR, using sensitive data for detecting algorithmic bias lacks explicit provisions, raising legal questions. AI algorithms, powerful but prone to absorbing biases, can perpetuate unfair practices if trained on prejudiced data, impacting decisions related to gender, race, or age.

The recent AI Safety Summit 2023 addressed these issues, sparking discussions on fostering fairer, more inclusive AI systems. ????

News in brief from The HR World:

Helen Ives, Chief People Officer at NHS Professionals , discusses her challenge in developing a flexible HR strategy for the evolving healthcare staffing sector and her way of applying psychology in the workplace??

Dr Naeema Pasha discusses why increasing the number of women in leadership positions in the tech sector is crucial to improving AI ??

Why not take a look back at Amit Masram MCIPD,SPHR?,GPHR? , HR Technology expert and global HR Leader, opinion piece on HR Tech, AI, the Future?of Work and employee experience??

Enjoy your weekend when it comes, in the meantime??

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