All this season, “How to Fix the Internet” has been focusing on the tools and technology of freedom – and one of the most important tools of freedom is a library. Access to knowledge not only creates an informed populace that democracy requires, but also gives people the tools they need to thrive. And the internet has radically expanded access to knowledge in ways that earlier generations could only have dreamed of – so long as that knowledge is allowed to flow freely.

(You can also find this episode on the Internet Archive and on YouTube.)

A passionate advocate for public internet access and a successful entrepreneur, Brewster Kahle has spent his life intent on a singular focus: providing universal access to all knowledge. The Internet Archive, which he founded in 1996, now preserves 99+ petabytes of data - the books, Web pages, music, television, government information, and software of our cultural heritage – and works with more than 400 library and university partners to create a digital library that’s accessible to all. The Archive is known for the Wayback Machine, which lets users search the history of almost one trillion web pages. But it also archives images, software, video and audio recordings, documents, and it contains dozens of resources and projects that fill a variety of gaps in cultural, political, and historical knowledge. Kahle joins EFF’s Cindy Cohn and Jason Kelley to discuss how the free flow of knowledge makes all of us more free.

In this episode you’ll learn about:

• The role AI plays in digitizing, preserving, and easing access to all kinds of information
• How EFF helped the Internet Archive fight off the government’s demand for information about library patrons
• The importance of building a decentralized, distributed web to finding and preserving information for all
• Why building revolutionary, world-class libraries like the Internet Archive requires not only money and technology, but also people willing to dedicate their lives to the work
• How nonprofits are crucial to filling societal gaps left by businesses, governments, and academia

Brewster Kahle is the founder and digital librarian of the Internet Archive, which serves millions of people each day and is among the world’s largest libraries. After studying AI at and graduating from the Massachusetts Institute of Technology in 1982, Kahle helped launch the company Thinking Machines, a parallel supercomputer maker. In 1989, he helped create the internet's first publishing system called Wide Area Information Server (WAIS); WAIS Inc. was later sold to AOL. In 1996, Kahle co-founded Alexa Internet, which helps catalog the Web, selling it to Amazon.com in 1999. He is a former member of EFF’s Board of Directors.

The human brain might be the grandest computer of all, but in this episode, we talk to two experts who confirm that the ability for tech to decipher thoughts, and perhaps even manipulate them, isn't just around the corner – it's already here. Rapidly advancing "neurotechnology" could offer new ways for people with brain trauma or degenerative diseases to communicate, as the New York Times reported this month, but it also could open the door to abusing the privacy of the most personal data of all: our thoughts. Worse yet, it could allow manipulating how people perceive and process reality, as well as their responses to it – a Pandora’s box of epic proportions.

(You can also find this episode on the Internet Archive and on YouTube.)

Neuroscientist Rafael Yuste and human rights lawyer Jared Genser are awestruck by both the possibilities and the dangers of neurotechnology. Together they established The Neurorights Foundation, and now they join EFF’s Cindy Cohn and Jason Kelley to discuss how technology is advancing our understanding of what it means to be human, and the solid legal guardrails they're building to protect the privacy of the mind.

In this episode you’ll learn about:

• How to protect people’s mental privacy, agency, and identity while ensuring equal access to the positive aspects of brain augmentation
• Why neurotechnology regulation needs to be grounded in international human rights
• Navigating the complex differences between medical and consumer privacy laws
• The risk that information collected by devices now on the market could be decoded into actual words within just a few years
• Balancing beneficial innovation with the protection of people’s mental privacy

Rafael Yuste is a professor of biological sciences and neuroscience, co-director of the Kavli Institute for Brain Science, and director of the NeuroTechnology Center at Columbia University. He led the group of researchers that first proposed the BRAIN (Brain Research through Advancing Innovative Neurotechnologies) Initiative launched in 2013 by the Obama Administration.

Jared Genser is an international human rights lawyer who serves as managing director at Perseus Strategies, renowned for his successes in freeing political prisoners around the world. He’s also the Senior Tech Fellow at Harvard University’s Carr-Ryan Center for Human Right, and he is outside general counsel to The Neurorights Foundation, an international advocacy group he co-founded with Yuste that works to enshrine human rights as a crucial part of the development of neurotechnology.

If you believe the hype, artificial intelligence will soon take all our jobs, or solve all our problems, or destroy all boundaries between reality and lies, or help us live forever, or take over the world and exterminate humanity. That’s a pretty wide spectrum, and leaves a lot of people very confused about what exactly AI can and can’t do. In this episode, we’ll help you sort that out: For example, we’ll talk about why even superintelligent AI cannot simply replace humans for most of what we do, nor can it perfect or ruin our world unless we let it.

Arvind Narayanan studies the societal impact of digital technologies with a focus on how AI does and doesn’t work, and what it can and can’t do. He believes that if we set aside all the hype, and set the right guardrails around AI’s training and use, it has the potential to be a profoundly empowering and liberating technology. Narayanan joins EFF’s Cindy Cohn and Jason Kelley to discuss how we get to a world in which AI can improve aspects of our lives from education to transportation—if we make some system improvements first—and how AI will likely work in ways that we barely notice but that help us grow and thrive.

In this episode you’ll learn about:

• What it means to be a “techno-optimist” (and NOT the venture capitalist kind)
• Why we can’t rely on predictive algorithms to make decisions in criminal justice, hiring, lending, and other crucial aspects of people’s lives
• How large-scale, long-term, controlled studies are needed to determine whether a specific AI application actually lives up to its accuracy promises
• Why “cheapfakes” tend to be more (or just as) effective than deepfakes in shoring up political support
• How AI is and isn’t akin to the Industrial Revolution, the advent of electricity, and the development of the assembly line

Arvind Narayanan is professor of computer science and director of the Center for Information Technology Policy at Princeton University. Along with Sayash Kapoor, he publishes the AI Snake Oil newsletter, followed by tens of thousands of researchers, policy makers, journalists, and AI enthusiasts; they also have authored “AI Snake Oil: What Artificial Intelligence Can Do, What It Can’t, and How to Tell the Difference” (2024, Princeton University Press). He has studied algorithmic amplification on social media as a visiting senior researcher at Columbia University's Knight First Amendment Institute; co-authored an online a textbook on fairness and machine learning; and led Princeton's Web Transparency and Accountability Project, uncovering how companies collect and use our personal information.