The advent of Generative AI has presented fresh challenges concerning ‘Responsible AI,’ propelling these issues into the spotlight and compelling enterprises to reassess their AI policies. GlobalData, a prominent data and analytics company, underscores the imperative for businesses to guarantee the responsible and ethical implementation of AI solutions, especially as they explore novel applications in this evolving landscape.
Responsible AI, the principle that AI projects should prioritise privacy, transparency, fairness, and the prevention of harm, has gained renewed attention with the emergence of Generative AI. OpenAI’s ChatGPT, in particular, has made these concerns apparent to even casual users, with issues such as hallucinations and data privacy becoming focal points of discussion.
The recent lawsuit filed by the New York Times against Microsoft and OpenAI for copyright infringement further underscores the challenges society faces in integrating AI responsibly. Rena Bhattacharyya, Chief Analyst of Enterprise Technology and Services at GlobalData, notes that the ease with which consumers can access technologies like ChatGPT has intensified worries regarding ethical AI usage.
GlobalData’s latest reports, “Generative AI Watch: Lessons Learned for Implementing Responsible AI (Part 1)” and “Generative AI Watch: Lessons Learned for Implementing Responsible AI (Part 2),” found that in addition to concerns related to copyright protections, enterprises must contend with issues related to explainability, bias, ethics, hallucinations, toxicity and poisoning, and data privacy and leakage when implementing Responsible AI strategies.
Rena Bhattacharyya, Chief Analyst of Enterprise Technology and Services at GlobalData, said, “Responsible AI has once again been catapulted into the headlines due to the emergence of Generative AI. The ease with which consumers can access Open AI’s ChatGPT has made the concerns posed by the new technology, such as hallucinations and data privacy, readily apparent and easily comprehendible to even casual users.”
Bhattacharyya concludes that while challenges related to Responsible AI have persisted for years, the advent of Generative AI has amplified and intensified these concerns.
“Organisations deploying AI must ensure that they are using the technology in a way that is responsible and ethical; otherwise, they risk significant damage to their brand reputation, if not legal and financial repercussions. It is a highly ambitious goal – and getting there is a daunting task,” he said.
