TECHNOLOGY
Cybersecurity
by Cybersecurists
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As Bansal adds , while businesses should certainly embrace AI innovation and the new tools it brings , they must do so responsibly . “ There are some known challenges with the use of AI , including the technical , social and organisational complexity of AI applications , bias of data sets and the associated cost of integrating AI algorithms ,” he describes .
“ All of these risks and challenges must be fully evaluated when AI models are built . The National Institute of Standards and Technology ’ s ( NIST ) AI Risk Management Framework is a good example of how organisations can keep track of risks and put in place a plan to mitigate them . If these ideas are followed , then enterprises will benefit from the development of more trustworthy AI .”
Ensuring the ethical use of AI in security The integration of AI into cybersecurity practices , however , raises important considerations regarding privacy , ethics , and the potential for adversarial exploitation . It is crucial to strike a delicate balance between leveraging AI ’ s immense potential and ensuring responsible implementation to protect user privacy while maintaining ethical boundaries .
Ivana Bartoletti , Global Privacy Officer at Wipro , explains that , first of all , companies need to have the right governance in place to assess the development and deployment of AI systems : “ Whether it is by creating a separate structure or building ethical AI into an existing governance structure , using AI presents risks that need to be identified and managed .”
Developing these tools requires controls , training about how to label data and prepare the right datasheets , monitoring , and defining what fairness means , Bartoletti states : “ When purchasing a tool from a provider , it is essential to assess that the product has followed due diligence and that its development is aligned with the corporate values of the business .
128 September 2023