
The global effort to curb alcohol harm will see a wave of change from the rollout of artificial intelligence (AI), but how big will it be? Will it be a ripple, crashing breaker, tidal surge or shattering tsunami? Alcohol Review’s annual conference in March will try to find out, while showcasing many other key developments in the field. To read on, please, register for the event and newsletter, or the free event preview and log in.
The global effort to curb alcohol harm will see a wave of change from the rollout of artificial intelligence (AI), but how big will it be? Will it be a ripple, crashing breaker, tidal surge or shattering tsunami? Alcohol Review’s annual conference in March will try to find out, while showcasing many other key developments in the field.
The economic energy has been given for massive change, with tech firms this year stumping up $1.5 trillion on an AI loss-leader, more than the yearly economic output of Indonesia. It seems inevitable that AI will spread further into alcohol research, advice, treatment, health promotion, alcohol marketing and law enforcement, among other areas.
More than few questions come to mind: Where is AI best suited to play a role and what are its limitations? What are the risks? How sustainable is it? AI is currently cheap, but might it become too expensive after the loss-making rollout splurge? Where is human expertise and insight needed? Will AI help to amplify or diminish human contributions?
I will take my own trade as a starting point on some of this, with journalism requiring a rag-bag of different skills including: research, fact checking, storytelling and interviewing. We first see that AI is very good at scraping the internet for relevant research and writing readable, well-sourced summaries of its findings. And it does this extremely fast, without the typos or drafting errors typical of its human rivals.
But AI falls short. It presents information which does not belong together, not recognising inconsistency. This is because it knows nothing about the real world its output seems to be about. AI is not sensitive to conflicting interests, misinformation, unintended ambiguities and downright lies. This means AI will always be a vector for unreliable alcohol information where safeguards are absent.
A lack of worldly understanding means AI does not and cannot lay out information as a story, which is an essential molecule of human communication. Instead it writes impressively comprehensive lists. It does not how the information fits together, what is surprising, or what is contradictory, touching, funny or likely interesting to readers. AI, then, cannot lead us through the material with an engaging story. This severely limits its communication capabilities.
To tell a story one needs to develop an angle for the story which provides a hook to engage readers. It might be picking out a particular detail, presenting a new relevant piece of information, a new viewpoint or a human experience we can empathise with. This all requires some understanding of the real world and the people in it and what they care about. AI images also lack this crucial storytelling element.
AI, at least in its current form, does not add new information to what it serves up. It does not talk to experts or pull in new sources of information or opinion. It does not interrogate a database or get out knocking on metaphorical doors looking for quotes. And its summaries do not bring new images or metaphors to clarify a subject. Journalists add, but AI simply compiles what is on the web already.
At some point AI might become more pro-active in their information searches. What it can already do is impressive. In an AI speech interview I found it accurately picked up what I was saying and formed questions from it. This is better than many human interviewers, who often do not prepare, listen or adapt their questions to the answers given. AI can definitely collect new information, but it seems to be more like a questionnaire than an interview.
Again AI is missing a key ingredient of what a journalistic enquiry does. Interviewees are chosen based on an understanding of the real world, including an understanding of their role, interests and expertise in a topic. They are persuaded to talk by instilling trust. And a line of enquiry should change as new facts are added, again requiring some knowledge of how the world works. Investigating alcohol harm is as challenging, if not more, than many other areas.
We should be open to the benefits AI may offer, but surely empathy and understanding will always be core to understanding human foibles? AI seems set to fall short in crucial areas of journalism’s attempt to do this. And it seems likely these shortcomings will also hamper AI in other complex truth-seeking and communication tasks, like that needed to reduce alcohol harm.
Note: For more on joining these online sessions on AI and the wide-ranging participant presentations, please visit the conference homepage and check out the new preview. ■


