the need for skilling-up goes beyond the workforce agenda , and that training for the wider population , both through employers and schools should also be a priority .
And , it is worth mentioning that we need to equip AI with the right skills too ! It is important to make sure that the algorithmic bias is addressed , which requires training and learning as AI only knows what we teach it .
If employers do not help workforces adapt there is a risk of leaving workers behind in terms of skills , so there needs to be a determined effort to educate and ensure that everybody is brought up to speed . Implementing regular pulse surveys and ongoing sense checks is one of several ways that a business can temperature-check workforce confidence in the adoption of AI . But I think that given the seismic shift AI presents for society ,
Q . WHAT ARE THE ETHICAL IMPLICATIONS OF AI IN THE WORKFORCE ?
» My biggest concern about AI is the way AI learns today – the internet is not necessarily a world that we aspire to as humans in terms of values ; it is a place full of bias , fake news and increasingly synthetic data . Unfortunately , this is the world AI learns from today .
It is encouraging to see how quickly the world is reacting , not only through regulation ( as global standards are being defined in record time ) but also through the technology itself , where we are seeing an increasing effort to address the issues that come with it , such as bias or other associated risks like skills and cyber .
An evolving regulatory framework will help businesses address and mitigate these risks . This includes a set of strong internationally recognised standards that consider both AI ' s transformative potential and inherent risks .
For this to be achieved we need constructive dialogue between regulators , the public and the private sectors .
And for that , stakeholders , whether tech leaders , CEOs or policymakers should be prioritising the collaborative and proactive development of AI governance . If left unchecked , its growth could lead to pitfalls , which makes it imperative for businesses to adopt a balanced and considered approach to its use .
technologymagazine . com 23