• Intellectual property concerns
Ensuring Gen AI usage does not infringe on intellectual property rights, avoiding potential “plagiarism” in training data.
• Accuracy and explainability
Guaranteeing the accuracy of answers generated by large language models (LLMs) and ensuring they are explainable.
• AI hallucinations
Addressing incorrect or misleading results that AI models can produce. For example, an AI might generate a fictitious citation or fact, presenting it as true.
• Fairness and bias
Preventing Gen AI from producing biased or harmful content that reflects societal stereotypes.
• Accelerating digital transformation and reskilling
The swift deployment of Gen AI requires rapid acceleration in digital transformation efforts and necessitates reskilling the workforce to adapt to the changing technological landscape.
