Whether it is predicting a consumer’s shopping preferences, guiding military decisions, or providing unique insights into financial crime, nearly every day new uses for artificial intelligence (AI) tools make headlines. Companies large and small are looking to expand and scale their AI capabilities to better serve clients and increase operational efficiencies.
While the adoption of AI tools can positively impact businesses, it is important that organizations understand the potential risks associated with implementing these technologies. These risks range from privacy and trade secret concerns to tool hallucinations where large language model AIs generate false information to broad scale sophisticated cyberattacks and weaponized misinformation. AI tools can also be susceptible to bias or model distortion due to the training data and can result in improper, incorrect, or invalid responses.
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