AI / ML

From drug discovery to software development , knowledge retrieval to creative arts , this technology can achieve remarkable feats . With that in mind , it ’ s no surprise that Gen AI is projected to boost global productivity by trillions of dollars .

According to a report by KPMG , 70 % of CEOs agree that Gen AI remains high on their list of priorities , with most ( 52 %) expecting to see a return on their investment in three to five years .

But despite a willingness to push forward with their investments , ethical challenges are more of the main risks in terms of the implementation of generative AI .

“ When it comes to generative AI , CEOs are stuck between a rock and a hard place ; they are eager to reap the benefits of the technology , yet regulatory and security concerns are holding them back from extracting the most value from it ,” Ian West , Head of KPMG ’ s TMT Practice in the UK , said .

Ethical concerns and challenges with generative AI As Kunal Purohit , Chief Digital Services Officer ( CDSO ) at Tech Mahindra explains , generative AI solutions and offerings are reshaping operational , functional , and strategic landscapes across industries . However , generative AI is relatively new and largely unregulated , leading to several potential misuse scenarios and ethics concerns .

“ Numerous ethical concerns surround generative AI today ,” he says . “ These concerns include issues related to copyright or stolen data , hallucinations , inaccuracies ,

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