Artificial intelligence-generated summaries of scientific papers make complex information more understandable for the public compared with human-written summaries, according to my recent paper published in PNAS Nexus. AI-generated summaries not only improved public comprehension of science but also enhanced how people perceived scientists.
I used a popular large language model, GPT-4 by OpenAI, to create simple summaries of scientific papers; this kind of text is often called a significance statement. The AI-generated summaries used simpler language – they were easier to read according to a readability index and used more common words, like “job” instead of “occupation” – than summaries written by the researchers who had done the work.
In one experiment, I found that readers of the AI-generated statements had a better understanding of the science, and they provided more detailed, accurate summaries of the content than readers of the human-written statements.
I also investigated what effects the simpler summaries might have on people’s perceptions of the scientists who performed the research. In this experiment, participants rated the scientists whose work was described in the simpler texts as more credible and trustworthy than the scientists whose work was described in the more complex texts.
In both experiments, participants did not know who wrote each summary. The simpler texts were always AI-generated, and the complex texts were always human-generated. When I asked participants who they believed wrote each summary, they ironically thought the more complex ones were written by AI and simpler ones were written by humans.
Have you ever read about a scientific discovery and felt like it was written in a foreign language? If you’re like most Americans, new scientific information is probably hard to understand – especially if you try to tackle a science article in a research journal.
In an era where scientific literacy is crucial for informed decision-making, the abilities to communicate and grasp complex ideas are more important than ever. Trust in science has been declining for years, and one contributing factor may be the challenge of understanding scientific jargon.
This research points to a potential solution: using AI to simplify science communication. By making scientific content more approachable, this work demonstrates that AI-generated summaries may help to restore trust in scientists and, in turn, encourage greater public engagement with scientific issues. The question of trust is particularly important, as people often rely on science in their daily lives, from eating habits to medical choices.
What still isn’t known
As AI continues to evolve, its role in science communication may expand, especially if using generative AI becomes more commonplace or sanctioned by journals. Indeed, the academic publishing field is still establishing norms regarding the use of AI. By simplifying scientific writing, AI could contribute to more engagement with complex issues.
While the benefits of AI-generated science communication are perhaps clear, ethical considerations must also be considered. There is some risk that relying on AI to simplify scientific content may remove nuance, potentially leading to misunderstandings or oversimplifications. There’s always the chance of errors, too, if no one pays close attention.
Additionally, transparency is critical. Readers should be informed when AI is used to generate summaries to avoid potential biases.
Simple science descriptions are preferable to and more beneficial than complex ones, and AI tools can help. But scientists could also achieve the same goals by working harder to minimize jargon and communicate clearly – no AI necessary.
As you scroll through your social media feed or let your favorite music app curate the perfect playlist, it may feel like artificial intelligence is improving your life – learning your preferences and serving your needs. But lurking behind this convenient facade is a growing concern: algorithmic harms.
These harms aren’t obvious or immediate. They’re insidious, building over time as AI systems quietly make decisions about your life without you even knowing it. The hidden power of these systems is becoming a significant threat to privacy, equality, autonomy and safety.
One of the most striking aspects of algorithmic harms is that their cumulative impact often flies under the radar. These systems typically don’t directly assault your privacy or autonomy in ways you can easily perceive. They gather vast amounts of data about people — often without their knowledge — and use this data to shape decisions affecting people’s lives.
Sometimes, this results in minor inconveniences, like an advertisement that follows you across websites. But as AI operates without addressing these repetitive harms, they can scale up, leading to significant cumulative damage across diverse groups of people.
Worse, their addictive design traps teenagers in cycles of overuse, leading to escalating mental health crises, including anxiety, depression and self-harm. By the time you grasp the full scope, it’s too late — your privacy has been breached, your opportunities shaped by biased algorithms, and the safety of the most vulnerable undermined, all without your knowledge.
This is what I call “intangible, cumulative harm”: AI systems operate in the background, but their impacts can be devastating and invisible.
Researcher Kumba Sennaar describes how AI systems perpetuate and exacerbate biases.
Why regulation lags behind
Despite these mounting dangers, legal frameworks worldwide have struggled to keep up. In the United States, a regulatory approach emphasizing innovation has made it difficult to impose strict standards on how these systems are used across multiple contexts.
Courts and regulatory bodies are accustomed to dealing with concrete harms, like physical injury or economic loss, but algorithmic harms are often more subtle, cumulative and hard to detect. The regulations often fail to address the broader effects that AI systems can have over time.
Social media algorithms, for example, can gradually erode users’ mental health, but because these harms build slowly, they are difficult to address within the confines of current legal standards.
Four types of algorithmic harm
Drawing on existing AI and data governance scholarship, I have categorized algorithmic harms into four legal areas: privacy, autonomy, equality and safety. Each of these domains is vulnerable to the subtle yet often unchecked power of AI systems.
The first type of harm is eroding privacy. AI systems collect, process and transfer vast amounts of data, eroding people’s privacy in ways that may not be immediately obvious but have long-term implications. For example, facial recognition systems can track people in public and private spaces, effectively turning mass surveillance into the norm.
The second type of harm is undermining autonomy. AI systems often subtly undermine your ability to make autonomous decisions by manipulating the information you see. Social media platforms use algorithms to show users content that maximizes a third party’s interests, subtly shaping opinions, decisions and behaviors across millions of users.
Because these cumulative harms often arise from AI applications protected by trade secret laws, victims have no way to detect or trace the harm. This creates a gap in accountability. When a biased hiring decision or a wrongful arrest is made due to an algorithm, how does the victim know? Without transparency, it’s nearly impossible to hold companies accountable.
This UNESCO video features researchers from around the world explaining the issues around the ethics and regulation of AI.
Closing the accountability gap
Categorizing the types of algorithmic harms delineates the legal boundaries of AI regulation and presents possible legal reforms to bridge this accountability gap. Changes I believe would help include mandatory algorithmic impact assessments that require companies to document and address the immediate and cumulative harms of an AI application to privacy, autonomy, equality and safety – before and after it’s deployed. For instance, firms using facial recognition systems would need to evaluate these systems’ impacts throughout their life cycle.
Another helpful change would be stronger individual rights around the use of AI systems, allowing people to opt out of harmful practices and making certain AI applications opt in. For example, requiring an opt-in regime for data processing by firms’ use of facial recognition systems and allowing users to opt out at any time.
Lastly, I suggest requiring companies to disclose the use of AI technology and its anticipated harms. To illustrate, this may include notifying customers about the use of facial recognition systems and the anticipated harms across the domains outlined in the typology.
As AI systems become more widely used in critical societal functions – from health care to education and employment – the need to regulate harms they can cause becomes more pressing. Without intervention, these invisible harms are likely to continue to accumulate, affecting nearly everyone and disproportionately hitting the most vulnerable.
With generative AI multiplying and exacerbating AI harms, I believe it’s important for policymakers, courts, technology developers and civil society to recognize the legal harms of AI. This requires not just better laws, but a more thoughtful approach to cutting-edge AI technology – one that prioritizes civil rights and justice in the face of rapid technological advancement.
The future of AI holds incredible promise, but without the right legal frameworks, it could also entrench inequality and erode the very civil rights it is, in many cases, designed to enhance.
The holidays offer many opportunities for awkward moments. Political discussions, of course, hold plenty of potential. But any time opinions differ, where estrangements have caused lingering rifts, or when behaviors veer toward the inappropriate, awkwardness can set in.
Awkwardness is what happens in social interactions when you suddenly find yourself without a script to guide you through. Maybe the situation is new or catches you off guard. Maybe you don’t know what’s expected of you, or you aren’t sure what role you’re playing in the social drama around you. It’s characterized by feelings of self-consciousness, uncertainty and discomfort.
As a philosopher who studies moral psychology, I’m interested in awkwardness because I wanted to understand the ways social discomfort stops people from engaging with difficult topics and challenging conversations. Awkwardness seems to inhibit people, even when their moral values suggest they should speak up. But it has a positive role to play, too – it can alert people to areas where their social norms are lacking or outdated.
People often blame themselves when things take a turn toward the awkward. But awkwardness is really a collective failure – people aren’t awkward, situations are. And they become awkward because you don’t have the resources to navigate your way through tricky social situations.
Awkwardness is often confused with embarrassment, but the two are different in important ways, and so are their remedies. Embarrassment is a response to a personal failing or gaffe, and the right response is to acknowledge it, own it and move on. Because awkwardness is caused by a lack of social guidance, you can try to anticipate and head it off before it happens, or you can respond to it by trying to develop better or clearer social scripts to help you – and others – navigate similar situations in the future.
After researching and writing an entire book on awkwardness, I’ve come to the conclusion that it’s not something we can – or should – avoid altogether. But there are a few strategies people can use to minimize awkwardness and deal with it when it does, inevitably, happen.
1. Know your goals, know your roles
Uncertainty is the oxygen of awkwardness. Before you engage in a potentially awkward or contentious interaction, ask yourself: What do I want to get out of this?
When you’re clear on your goals for the interaction, not only are you better able to perform your role in it, but you’re also giving clearer signals to others, helping them perform their roles in the unfolding social drama.
So, if you’re worried it’ll be awkward when your uncle starts in on his annual political rant, think about what you want the outcome to be. Do you want to convince him he’s wrong? Unlikely to happen. Do you want other family members to feel less anxious? Do you want your own views to be heard?
I’m not suggesting that some forethought will make things go smoothly or guarantee that no one’s feelings will be hurt. But it will help you feel more confident in your ability to navigate toward your desired outcome.
Awkward situations breed intense self-consciousness. This is both uncomfortable and counterproductive. By focusing on yourself, you’re not attuned to the people around you or the signals they’re sending – signals that could offer you a pathway out of the awkward situation. So make sure you’re paying attention to the other players in the drama, not just your own discomfort.
3. Plan, coordinate and be explicit
People do so much planning in other areas of their lives, yet they expect social interactions to just flow effortlessly. But like a vacation or a hike in the woods, sometimes a conversation goes better when you approach it with a map. Have some go-to topics or questions at hand.
And you don’t have to go it alone. If you’re worried about broaching a sensitive topic, or interacting with a particularly prickly guest, coordinate with a friend or relative.
If you expect to see someone with whom you have an unresolved relationship – an estranged family member, an old friend you ghosted – try to do some prep work in advance. Emails or letters can give people a chance to process reactions without putting them on the spot.
Even having a scripted activity on deck can make things less awkward. It doesn’t have to be anything formal, like a board game. Just keep some tasks available for guests who might otherwise lurk uncomfortably – like shaking up the salad dressing or putting forks on the table.
4. Laugh it off
If, despite your best efforts, awkwardness does strike, offer people a way out – they’ll probably grab it. This doesn’t need to be momentous; it could be a little joke, a small-talk topic, or even – and only if things get very desperate – knocking a spoon off the table to break the silence.
5. Consider the alternatives
These strategies might help you avoid awkwardness. But take a moment to consider whether you really want to. Awkwardness is the result of social uncertainty; it slows things down and curbs your confidence.
In its absence, other emotions can set in. Having things out in the open can be a relief, but it can also lead to anger, sadness and other feelings that might best be saved for another occasion.
So if things are awkward, it’s worth looking around to see what role that awkwardness is playing, and what might take its place if it’s gone.
The holidays are full of delicious and indulgent food and drinks. It’s hard to resist dreaming about cookies, specialty cakes, rich meats and super saucy side dishes.
Lots of the healthy raw ingredients used in holiday foods can end up overshadowed by sugar and starch. While adding extra sugar may be tasty, it’s not necessarily good for metabolism. Understanding the food and culinary science behind what you’re cooking means you can make a few alterations to a recipe and still have a delicious dish that’s not overloaded with sugar.
Particularly, if you’re a person living with Type 1 diabetes, the holidays may come with an additional layer of stress and wild blood glucose levels. It’s no time for despair though – it is the holidays, after all.
Cranberries are one seasonal, tasty fruit that can be modified in recipes to be more Type 1 diabetic-friendly – or friendly to anyone looking for a sweet dish without the extra sugar.
I am a food scientist and a Type 1 diabetic. Understanding food composition, ingredient interactions and metabolism has been a literal lifesaver for me.
Type 1 diabetes defined
Type 1 diabetes is all day every day, with no breaks during sleep, no holidays or weekends off, no remission and no cure. Type 1 diabetics don’t make insulin, a hormone that is required to live that promotes the uptake of glucose, or sugar, into cells. The glucose in your cells then supplies your body with energy at the molecular level.
Consequently, Type 1 diabetics take insulin by injection, or via an insulin pump attached to their bodies, and hope that it works well enough to stabilize blood sugar and metabolism, minimize health complications over time and keep us alive.
Type 1 diabetics mainly consider the type and amount of carbohydrates in foods when figuring out how much insulin to take, but they also need to understand the protein and fat interactions in food to dose, or bolus, properly.
In addition to insulin, Type 1 diabetics don’t make another hormone, amylin, which slows gastric motility. This means food moves more quickly through our digestive tract, and we often feel very hungry. Foods that are high in fat, proteins and fiber can help to stave off hunger for a while.
Cranberries, a seasonal treat
Cranberries are native to North America and grow well in the Northeastern and Midwestern states, where they are in season between late September and December. They’re a staple on holiday tables all over the country.
Cranberries are a classic Thanksgiving side dish, but cranberry sauce tends to contain a lot of sugar. bhofack2/iStock via Getty Images
One cup of whole, raw cranberries contains 190 calories. They are 87% water, with trace amounts of protein and fat, 12 grams of carbohydrates and just over 4 grams of soluble fiber. Soluble fiber combines well with water, which is good for digestive health and can slow the rise of blood glucose.
Cranberries are high in potassium, which helps with electrolyte balance and cell signaling, as well as other important nutrients such as antioxidants, beta-carotene and vitamin C. They also contain vitamin K, which helps with healthy blood clotting.
Cranberries are high in pectin, a soluble starch that forms a gel and is used as a setting agent in making jams and jellies, which is why they thicken readily with minimal cooking. Their beautiful red jewel-tone color is from a class of compounds called anthocyanins and proanthocyanidins, which are associated with treating some types of infection.
They also contain phenolics, which are protective compounds produced by the plant. These compounds, which look like rings at the molecular level, interact with proteins in your saliva to produce a dry, astringent sensation that makes your mouth pucker. Similarly, a compound called benzoic acid naturally found in cranberries adds to the fruit’s sourness.
These chemical ingredients make them extremely sour and bitter, and difficult to consume raw. To mitigate these flavors and effects, most cranberry recipes call for lots of sugar.
All that extra sugar can make cranberry dishes hard to consume for Type 1 diabetics, because the sugars cause a rapid rise in blood glucose.
Cranberries without sugar?
Type 1 diabetics – or anyone who wants to reduce the added sugars they’re consuming – can try a few culinary tactics to lower their sugar intake while still enjoying this holiday treat.
Don’t cook your cranberries much longer after they pop. You’ll still have a viscous cranberry liquid without the need for as much sugar, since cooking concentrates some of the bitter compounds, making them more pronounced in your dish.
Adding cinnamon, clove, cardamom, nutmeg and other warming spices gives the dish a depth of flavor. Adding heat with a spicy chili pepper can make your cranberry dish more complex while reducing sourness and astringency. Adding salt can reduce the cranberries’ bitterness, so you won’t need lots of sugar.
For a richer flavor and a glossy quality, add butter. Butter also lubricates your mouth, which tends to compliment the dish’s natural astringency. Other fats such as heavy cream or coconut oil work, too.
Adding chopped walnuts, almonds or hazelnuts can slow glucose absorption, so your blood glucose may not spike as quickly. Some new types of sweeteners, such as allulose, taste sweet but don’t raise blood sugar, requiring minimal to no insulin. Allulose has GRAS – generally regarded as safe – status in the U.S., but it isn’t approved as an additive in Europe.
This holiday season you can easily cut the amount of sugar added to your cranberry dishes and get the health benefits without a blood glucose spike.
