Artificial Intelligence (AI) has been a hot topic lately—even though AI, machine learning, and large language models are nothing new. Many companies, ours included, have been developing, adapting, and adopting these technologies for decades.
What is new is the attention the topic has received in conversations since the game-changing rollout of ChatGPT. To be sure, the advent of generative AI has leveled the playing field and made artificial intelligence much more accessible. And it is accelerating AI’s adoption in fields where it previously would have been out of reach. Gen AI can produce initial drafts of documents, automate routine tasks, draw from vast amounts of data to improve decision-making, and free up people’s time for a better work-life balance.
Unfortunately, because there are not yet enough generally agreed-upon ethical guardrails around gen AI, there have been controversies surrounding its use. That includes the collection of personal and copyrighted data from online sources to build large language models (LLMs).
In this fast-emerging age of AI, there is a social imperative to insist upon the responsible use of the technology. And that social imperative is very much the business imperativeof responsible AI. For example, when Apple recently announced it would incorporate ChatGPT into the iPhone, it was good to hear Apple’s commitment that a user’s queries would remain private.
