16 September 2024
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Artificial Intelligence is Checking into your Hotel – Are You Ready?
by Robert Braun, Co-Chair, JMBM Cybersecurity and Privacy Group;
Senior Member, JMBM Global Hospitality Group
Even though artificial intelligence has been a part of our lexicon for more than seventy years, artificial intelligence remains the latest bright shiny thing. Businesses large and small feel compelled to incorporate artificial intelligence into their company descriptions even with a limited understanding of what artificial intelligence is, or how it could help their business. Hotels and hotel companies are no different; just take a look at the online newsletters and announcements hitting your mailbox; it’s a rare day that a hotel company doesn’t announce that it is incorporating artificial intelligence into their business, whether to increase guest satisfaction, offer new services, improve reservations, or any of a variety of reasons.
While artificial intelligence can clearly help, jumping on the AI bandwagon can have unintended consequences.
What is Artificial Intelligence?
Most of us have an imperfect concept of artificial intelligence: we think that the title is descriptive of the product. However, artificial intelligence is not necessarily what it sounds like. IBM defines artificial intelligence as “technology that enables computers and machines to simulate human learning, comprehension, problem solving, decision making, creativity and autonomy.” But what most people think of as artificial intelligence is generative AI, technology that can create original text, images, video, and other content without human intervention.
Underlying this is a hard fact: artificial intelligence is highly technical and very difficult. As an expert in the field, Joseph Greenfield of Maryman and Associates told me, “To understand artificial intelligence, you understand neural networks.” I don’t understand neural networks – do you?
What are the risks of Artificial Intelligence?
Some of the risks in artificial intelligence – or, more accurately, AI systems and tools – are well publicized. For example, AI “hallucinations,” occurring when a generative AI tool that creates responses to prompts that have little or no basis in fact, have become legendary. Biased or inaccurate responses are a common issue, and certain AI models have design flaws that can magnify those issues. Additionally, because of the complexity of AI systems, artificial intelligence cannot be treated simply as another form of software – different and more intensive vetting of AI systems are required. CONTINUE READING →