HUMAN CAPITAL
The challenges of artificial intelligence ( AI ) in HR
56
“ Current HR and AI trends point to a promising Future of Work that ’ s richer in experience , but also brings with it the need for strong governance to account for unintended consequences ,” comments Chris Huff , CSO at Kofax . When it comes to the successful adoption of AI to deliver on its promising future , IBM identifies four key prevention barriers :
1 . Access to the right data : it is vital that organisations develop a complete understanding of the data involved , by harnessing comprehensive metadata libraries .
2 . Access to the right talent and skills : with AI skills in high demand , organisations should look to upskill existing employees , boost
data and tech literacy and find the right partners .
3 . Get the technology right : with the adoption of AI , organisations often require an update to the technology used to collect , store and process data . Digitally native companies typically have an advantage due to their nimble and scalable businesses models .
4 . Ethical and governance frameworks : while AI can provide huge benefits , misused it can have negative results , such as bias and intrusive AI . To remove bias organisations should ensure that data privacy and security are at the forefront of their approach , as well as a clear ethical and governance frameworks .
DECEMBER 2020