AI STRATEGY
decisions being made by technology , the role of humans approving the decisions and when people are interacting with AI tools . Finally , disclosure transparency means processes and guidelines for remedying issues of bias , abuse and where things have gone wrong .
This is echoed by Anant Ranganathan , VP Head of Data North America at First Derivative .
“ The speed and scale at which machine intelligence is proliferating across all industries requires early identification and planning for new risk types that emerge . The most common concern is one of privacy risk to the individual and algorithmic bias . Another would be the moral risk of making decisions not in the best interest of an individual or society , while only benefiting the chosen few ,” he says .
AI without diversity , we need to design economies which reflect the population it serves ,” he says .
Transparency in data , design and disclosure Kasia Borowska , Founder and MD of Brainpool . ai , emphasises the need for transparency on all levels to avoid resistance or fear around the strategy . She says data transparency means knowing what data was used , where it came from , how it was labelled and the features it included . In terms of design , it is knowing the types of
Proof of the pudding Peter van der Putten , Director of Decisioning and AI Solutions , Pegasystems and Assistant Professor , AI and Creative Research at Leiden University says the strategy is a sign that AI use is becoming more pervasive and shows a commitment from the Government that it should benefit all .
“ What is also interesting is that the document lists certain immediate actions that should benefit long-term needs such as improving AI skills , increasing private and public R & D funding and pushing publication of open data . However , the proof of the pudding is always in the eating , so it will be interesting to revisit the action plan in 6-12 months and see how many actions have been ticked off . These plans will need to be accompanied by proper levels of investment . Hard commitments on these investments are still lacking .”
aimagazine . com 53