Can AI-generated persuasive appeals sway human opinions on hot social issues? Stanford researchers find out. Chatbots' political persuasion has significant implications for democracy and national security. Discover how AI fared in the experiment and why it calls for immediate consideration of regulations.

Are you curious about the risks of artificial intelligence (AI) and how it affects our lives? Check out the thought-provoking article, "What We Missed about Social Media," on JSTOR Daily. The author shares their experience working in social media before it became the corporate giant it is today, and how it has changed the way we interact with each other. Discover how generative AI can dehumanize us, mislead us, and manipulate us, and why we need to be aware of its implications. Don't miss out on this insightful read!

Academic concepts like technology, media control, and truth-telling are explored in George Orwell's work, particularly in his novel 1984. Orwell's fascination with technology and its potential is relatable to our own generation's interest in social media and online identity. The novel's portrayal of a state controlling all media and messaging is contrasted with our diverse media landscape today, although some states still try to suppress online speech. Orwell's commitment to truth-telling is a valuable lesson for us today, as we navigate the spread of mistruths and lies on social media. By exploring these academic concepts, we can better understand the role of technology in our lives and the importance of staying vigilant against attempts to control or manipulate information.

In academic settings, arguments are often used to convince others of a particular point of view. However, not all arguments are created equal. The success of an argument depends on understanding the audience's beliefs, trusted sources, and values. Mathematical and logical arguments work well because they rely on shared beliefs, but disagreements that involve outside information often come down to what sources and authorities people trust. When disagreements can't be settled with statistics or evidence, making a convincing argument may depend on engaging the audience's values. The challenge is to correctly identify what's important to people who don't already agree with us. Engaging in discussion and being exposed to counter-arguments can help make our own arguments and reasoning more convincing. By understanding the elements that make arguments successful, students can become more effective communicators and critical thinkers in both academic and real-world settings.

In today's digital age, we're surrounded by algorithms that shape our daily lives in ways we may not even realize. From social media algorithms that decide what content we see to predictive policing algorithms that influence law enforcement decisions, algorithmic culture is ubiquitous and powerful. So, what is algorithmic culture, and how does it shape our lives and perceptions? At its core, algorithmic culture refers to the way algorithms and the data they process have become embedded in contemporary culture. According to Lev Manovich, a leading academic in the field, algorithmic culture is "a new way of producing and representing knowledge based on data analysis, and a new form of power." In other words, algorithms are not just tools but are also shaping the way we understand and interact with the world around us. One example of algorithmic culture in action is the use of predictive algorithms in the criminal justice system. Proponents argue that these algorithms can help prevent crime by identifying high-risk individuals before they offend. However, critics argue that these algorithms reinforce existing racial biases and lead to unfair treatment of certain groups. Another example is the use of recommendation algorithms on social media platforms. These algorithms decide what content we see based on our past behavior and interests, creating a "filter bubble" that can limit our exposure to diverse viewpoints. Despite its potential pitfalls, algorithmic culture also offers new opportunities for creativity and innovation. For example, computer-generated art is a growing field that harnesses the power of algorithms to produce unique and compelling works. As we navigate our increasingly algorithmic world, it's important to understand the ways in which these tools shape our lives and perceptions. By engaging with academic research and exploring new ideas, we can become more informed and empowered citizens in the digital age.

The Prisoner's Dilemma is a classic problem that can shed light on a range of real-world phenomena. In this dilemma, two people face a choice: cooperate and both do well, or fail to cooperate and both do worse. Understanding this dilemma can help you see how cooperation is key to solving complex problems, from overfishing to pollution to creating just societies. By exploring the underlying structure of this problem, you can gain insight into the benefits of cooperation, and how to approach complex situations where your choices impact those around you. Learning about the Prisoner's Dilemma can help you become a better problem solver, both intellectually and practically, by equipping you with the tools you need to think critically and work collaboratively with others.

Want to make social media a more positive and inclusive space? Researchers from King's College London and Harvard University have created a framework to prioritize content that fosters positive debate, deliberation and cooperation on social media. Algorithms that surface content aimed at building positive interactions could be more highly ranked, leading to more meaningful online interactions and a reduction in destructive conflict.

Discover how large language models like ChatGPT are shaping the way we write and reinforcing existing hierarchies in language use. Learn about the impact of AI technology on linguistic diversity and the ways in which it perpetuates dominant modes of writing, potentially sidelining less common ones. Explore how we can use writing as a tool to resist oppression and create a more equitable future.

In the world of risk and prediction, are you a hedgehog or a fox? The philosopher Isaiah Berlin wrote about the two animals, with the hedgehog knowing one big thing and the fox knowing many things. Political scientist Philip Tetlock found that foxes were better at predicting than hedgehogs, who were too confident in their forecasts. To be a good forecaster, one needs to be open to new knowledge, have insight into biases, and be willing to acknowledge uncertainty and change their minds. Rather than saying what will happen, good forecasters give probabilities for future events. So, are you willing to be a fox and adapt to changing circumstances, or will you be a hedgehog and stick to one overarching way of looking at the world? By being a fox, you can improve your ability to predict and make better decisions for the future.

Despite the increasing availability of knowledge and expertise, many people continue to reject expert advice as they fall prey to misinformation. This paradox of ignorance has significant implications for society, from public health to politics. But why do we reject expertise even when we need it? Biases have a role to play in this, such as the Dunning-Kruger Effect. This is a cognitive bias where unskilled individuals overestimate their abilities and knowledge, while highly skilled individuals underestimate theirs. This can lead to a dangerous overconfidence in one's own expertise especially in non-experts, and thus a dismissal of others' advice and knowledge. Another factor influencing the rejection of expert advice is the role of identity and group dynamics. We are more likely to trust those who share our values and beliefs, and less likely to trust those who do not. This can lead to a rejection of expert advice that conflicts with our group's values or beliefs. Furthermore, the influence of social media and echo chambers can amplify misinformation, forming a closed network that is hard for accurate information to penetrate through. The consequences of rejecting expertise can be seen in many areas, from the anti-vaccination movement to climate change denial. But there are steps we can take to combat this paradox of ignorance, such as promoting critical thinking and media literacy, and building bridges between experts and the public. Some resources that could enhance your understanding of ignorance include the works of Steven Novella, who is a proponent of scientific skepticism (questioning the veracity of scientific claims which lack empirical evidence), and former professor of US national security affairs Tom Nichols, who tackles the dangers of anti-intellectualism in The Death of Expertise by Tom Nichols. In conclusion, the paradox of ignorance highlights the need for increased critical thinking and media literacy, as well as efforts to bridge the gap between experts and the public. By understanding the factors that contribute to the rejection of expertise, we can work towards a more informed and engaged society, better equipped to tackle the challenges we face.

Can you distinguish between real and fake news on social media? MIT scholars found that the act of considering whether to share news items reduces people's ability to tell truths from falsehoods by 35%. Learn more about the essential tension between sharing and accuracy in the realm of social media, and the potential implications for online news consumption.

Is social media a tool for social cohesion or social division? Learn from Annenberg School for Communication Associate Professors Sandra González-Bailón and Yphtach Lelkes as they take stock of the existing studies and reveal what we know to date. Discover how social media affects our networks, public discourse, and political contexts, and how toxic language and hostility dominate social platforms. Explore the positive and negative effects of social media on social cohesion and polarization, and how policy changes can improve the situation.

The concept of the "Prisoner's Dilemma" has been studied for over 60 years for its insights into political, military, and economic affairs. The scenario involves two criminals who must decide whether to cooperate or betray each other, with each facing different consequences based on their actions. This dilemma highlights the conflict between self-interest and cooperation, and how rational individuals acting in their own self-interest can bring about the worst-case scenario. Learning about this concept can help students understand the importance of cooperation and the dangers of solely focusing on individual self-interest. It also has practical applications in fields such as politics, economics, and international relations. By exploring this concept through reading, reflection, and self-directed projects, students can gain a deeper understanding of human behavior and decision-making.

Are you passionate about technology and its impact on society? Do you believe in the ethical use of Artificial Intelligence (AI)? If so, then a career in Artificial Intelligence Ethics may be the perfect fit for you! As an Artificial Intelligence Ethicist, you will be responsible for ensuring that AI technology is developed and used in a responsible and ethical manner. This means considering the potential consequences of AI on society, including issues of bias, privacy, and the impact on jobs. One of the most appealing aspects of this field is the opportunity to make a real difference in the world. For example, an AI Ethicist might work with a healthcare company to develop an AI system that can diagnose diseases more accurately than a human doctor. Or, they might work with a social media platform to ensure that their algorithms are not promoting hate speech or other harmful content. Typical duties might include conducting research on the ethical implications of AI, developing guidelines and policies for AI development and use, and working with cross-functional teams to ensure that AI systems are designed and implemented in a responsible manner. There are many potential areas of specialisation within this field, including AI policy, AI governance, and AI risk management. Other related fields might include computer science, philosophy, and law. Typical education and training for an Artificial Intelligence Ethicist might include a degree in computer science, philosophy, or a related field. Some popular undergraduate programs and majors include Computer Science, Philosophy, and Ethics. Helpful personal attributes for an AI Ethicist might include strong critical thinking skills, excellent communication skills, and a passion for social justice. Job prospects for Artificial Intelligence Ethicists are strong, with many opportunities available in both the public and private sectors. Some notable potential employers include Google, Microsoft, and the World Economic Forum. In the longer term, the outlook for this field is extremely positive, with the demand for ethical AI experts only expected to grow as AI becomes more integrated into our daily lives. So, if you're interested in technology, ethics, and making a positive impact on society, consider a career in Artificial Intelligence Ethics!

In a world where social media is king, how do modern protests form and operate? Zeynep Tufekci offers insightful analysis and firsthand experience in "Twitter and Tear Gas." From the Zapatista uprisings in Mexico to the Arab Spring, Tufekci explores the power and limitations of using technology to mobilize large groups of people. Discover how tear gas empowered protesters in Istanbul's Gezi Park, and why the Occupy Movement refused to use bullhorns in New York. This book is a must-read for anyone interested in the future of governance, culture, and the role of social media in modern protest movements. Recommended for political science, sociology, and communication studies students, as well as activists and organizers, "Twitter and Tear Gas" offers a unique perspective on the role of social media in modern protest movements. Zeynep Tufekci's firsthand experience and scholarly insights provide a nuanced understanding of how protests form and operate in the digital age. This book is relevant to anyone interested in the intersection of technology, culture, and governance, and how social media has changed the way people mobilize and demand change.

Fahrenheit 451 is a novel that imagines a world where books are banned, and possessing them is forbidden. The protagonist, Montag, is responsible for destroying what remains. However, as he burns books day after day, Montag's mind occasionally wanders to the contraband that lies hidden in his home. Gradually, he begins to question the basis of his work. Fahrenheit 451 depicts a world governed by surveillance, robotics, and virtual reality. Dystopian fiction amplifies troubling features of the world around us and imagines the consequences of taking them to an extreme. In many dystopian stories, the government imposes constrictions onto unwilling subjects. But in Fahrenheit 451, Montag learns that it was the apathy of the masses that gave rise to the current regime. Fahrenheit 451 is a portrait of independent thought on the brink of extinction - and a parable about a society that is complicit in its own combustion. Learning about dystopian fiction can help students understand the importance of independent thought, creativity, and individuality in a world that values conformity.

Artificial Intelligence (AI) is no longer just a sci-fi concept or a futuristic technology. It has become an integral part of our lives, from virtual assistants in our phones to self-driving cars on our roads. However, with great power comes great responsibility, and this is where the study of Artificial Intelligence Ethics comes in. As an undergraduate student of AI Ethics, you will explore the ethical implications of AI and its impact on society. You will learn about the importance of transparency, accountability, and fairness in the development and deployment of AI systems. You will also delve into the ethical considerations around privacy, bias, and human autonomy in the age of AI. One of the most interesting aspects of this field is the real-life examples that demonstrate its relevance. For instance, AI-powered facial recognition technology has been proven to have a higher error rate for people of color, which raises questions about the fairness and accuracy of such systems. Another example is the use of AI in hiring processes, which can perpetuate existing biases and discrimination. As an AI Ethics student, you will explore these issues and more, and learn how to design AI systems that are ethical and inclusive. In terms of research and innovation, AI Ethics is a rapidly growing field with many exciting developments. Some of the most inspiring academic discourse is around the concept of "Explainable AI", which aims to make AI systems more transparent and understandable to humans. Well-known academic figures in this field include Joanna Bryson, who has written extensively on AI Ethics and is a leading voice in the field. At the undergraduate level, typical majors and modules in AI Ethics include Ethics and Technology, Philosophy of AI, and Machine Learning Ethics. There are also opportunities for further specialisation in areas such as AI Policy, AI Governance, and AI Law. For example, you could explore the legal implications of AI in healthcare, or the ethical considerations around the use of AI in warfare. As for potential future jobs and roles, AI Ethics is a field that is in high demand. You could work as an AI Ethics consultant, helping companies and organizations to design and implement ethical AI systems. You could also work in government agencies or non-profits, shaping AI policy and regulation. Key industries for prospective future employment include tech, healthcare, finance, and defense. Notable potential employers include Google's AI Ethics team, Microsoft's AI and Ethics in Engineering and Research (AETHER) Committee, and the Partnership on AI, which is a collaboration between tech giants such as Amazon, Facebook, and IBM. To succeed in this field, you will need a combination of technical and ethical skills, as well as a passion for social justice and a deep understanding of the impact of technology on society. A background in computer science, philosophy, or social sciences can be helpful, as well as strong critical thinking and communication skills. In conclusion, the study of AI Ethics is an exciting and meaningful field that combines cutting-edge technology with ethical considerations. As an undergraduate student in this field, you will explore the ethical implications of AI and learn how to design systems that are fair, transparent, and inclusive. With many potential career paths and a growing demand for ethical AI expertise, AI Ethics is a field that is sure to make a positive impact on the world.

Information overload is a growing concern in today's world, where technology has made it easier for businesses to access vast amounts of data. However, this has led to the paradox of too much information and too little time, leading to individuals and organizations struggling to make informed decisions. The impact of information overload on decision making has become a major topic of discussion among leading academics, such as Daniel Kahneman and Richard Thaler, who have explored the role of heuristics and biases in decision making. Studies have shown that individuals who have access to more information tend to experience increased anxiety and stress, leading to poor decision making and decision avoidance. Businesses have taken advantage of this by presenting their customers with an overwhelming amount of information to make their decision more difficult, often leading to impulsive purchases. This practice, known as 'nudge theory', was popularized by Thaler and Cass Sunstein, who argued that by presenting individuals with a small change to the environment, they can be influenced to make a different decision. An example of how businesses use information overload to their advantage is the use of advertisements on social media. Advertisers use algorithms to determine which advertisements to show to each user, often leading to an endless scroll of irrelevant or unwanted advertisements. This leads to individuals feeling overwhelmed and bombarded, often leading to impulsive purchases, simply to make the advertisements stop. To prevent falling victim to information overload and poor decision making, it is important to practice critical thinking and to seek out reliable sources of information. This can be done by asking questions, seeking out multiple perspectives, and by taking the time to reflect on one's own thoughts and feelings. In conclusion, by understanding how businesses use information overload to their advantage, we can make more informed decisions and take control of our own lives.

Effective altruism has been a cornerstone in solving global problems, relying heavily on quantitative metrics. But what about the ideas, experiences, and problems that resist quantification? Let's explore how we can create a more nuanced and inclusive framework for giving that incorporates unique passions.

A new Brown University study reveals that people with a low tolerance for uncertainty tend to hold more extreme political views, with the same neural mechanisms driving liberals and conservatives into their respective camps. The findings suggest that factors beyond political beliefs themselves can influence an individual's ideological biases, potentially leading to animosity and misunderstanding in society. Discover the surprising and solvable factors that shape our perception of political reality in this groundbreaking research.