SA.501 (Technology and Innovation)

The purpose of this course is to provide deeper understanding of the interaction between the operations of the news media and the conduct of international relations. This will include an emphasis on how rapidly the major medium of exchange has passed in barely 50 years from newspapers to broadcast to the internet. The instruction will be through a combination of lectures, guest lectures, student discussion and papers. There will be an emphasis on clear and good writing. Student evaluation will be based on participation in discussion and papers.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.600.755[C]

Artificial intelligence (AI) and machine learning (ML) have emerged as increasingly significant areas of inquiry and debate in science, technology, and society. From search engines, advertising, and chatbots to autonomous weapon systems, driverless vehicles, financial risk management, law enforcement, and medical diagnosis, AI and ML are being integrated within many services and products across a range of industries. At the same time, AI-enabled technologies are facilitating discrimination, raising questions on privacy and transparency, fueling fears about labor shortages, and feeding competition on the international stage. The challenge of today and tomorrow is taking a human-centered approach to filling the gap between technology, ethics, and policymaking. We will review and discuss industry use cases to better understand the complexity and evolution of AI. Students will work on a semester-long group research policy project on a topic of their choice.

From the printing press and nuclear reactor to the internet, advancements in technology have historically been major drivers of geopolitical shifts. Today, technologies such as blockchain, artificial intelligence, and nanotechnology, have become indistinguishable from national and inter-state interests. This course gives students the tools to understand and integrate disruptive technologies in their analysis of geopolitical risks in the twenty-first century; examine how technology affects our societies, international development, and the use of force; and the demands on regulatory institutions in a world increasingly reliant on machines. The course is interactive and employs a suite of learning techniques, including academic scholarship, business case studies, and discussion with subject-matter experts. Simultaneously, students collaborate on a group consulting project with an outside client related to a relevant set of social, political, and/or economic risks concerning a technology solution. Findings are presented as an oral pitch and final whitepaper. Students aspiring for careers in government, technology, or political risk consulting will find this practicum especially beneficial.Note: successful completion of this course fulfills the capstone requirement for second-year MAIR students. <a href="https://livejohnshopkins.sharepoint.com/sites/SAISInsider2/SitePages/DC-Capstones,-Professional-Skills-Courses.aspx" target="_blank">Click here for Capstone course application information</a>

Technology and governance are in perpetual tension. Relative power and wealth can be created, destroyed, enabled, denied, checked, and balanced when technologies emerge, and governments react. In this course students will prepare and present business case studies focusing on the role of governments in each case and how policy related to innovation altered the trajectory of markets, domestic politics, and international relations. The case studies will be a starting point for discussions of alternative strategies that firms and states might have employed to their respective advantage and any case specific lessons with broader application for innovators, investors, policymakers, and citizens.

People thought until recently that global information flows would lead to the global spread of liberal values and democracy, as social media platforms allowed citizens to talk and organize freely. Now, we are starting to understand that global information politics doesn't have predetermined winners. States - both democratic and authoritarian contending with each other over who should set the rules for information flows, each trying to impose its own national information order on others. In this class, we will examine where the different information orders of the major powers—the U.S., the E.U. and China—come from, and how each sees the politics of information as bound up with the survival of its own regime. We will examine the different vulnerabilities of democracies and autocracies to global information flows, and how each looks to shore up these vulnerabilities, as well as how each tries to project and spread its own approach to information to other countries, creating a new realm of global power politics.

Is social media making our politics more extreme? How does the circulation of “fake news” differ from propaganda efforts of the pre-digital age? Does it affect our politics in the long-term? How are states using media today not only to inform their own citizens, but as a weapon in larger geo-political contests? Are algorithms racists, and what does that say about the future we are building? This course will take a critical look at the production, circulation, and consumption of media in the contemporary world. We’ll particularly focus on the development of technology, surveillance, cyberwar, militarized media, social movements, and the social life of algorithms. We will explore cases through the Americas, Europe, Middle East, and Africa.

The class intends to help students understand the connection between strategy, technology and innovation. The class relies on the literature in international relations and security studies, management science and economics as well as on policy reports and business cases. The multidisciplinary focus of the class stems from the need to understand complex processes and dynamics characterizing an age of great powers competition (strategy) focused on technological superiority (technology) pursued and advanced by start-ups and Big Tech companies (innovation). After deepening the meaning of strategy, technology and innovation, the class looks at the interaction between strategy and technology, technology and innovation as well as innovation and strategy both at the abstract or theoretical level and through empirical or historical instances.The ultimate goal of the class consists of preparing students for understanding the challenges that private or public organizations may face when working in competitive environments characterized by rapid technological change and the need to generate or adopt innovations.

Data analytics and visualization skills are in high demand in today’s complex international affairs, geopolitics, and public policy more broadly. This course introduces students to the fundamentals of data science using the R statistical software. The course consists of three main components. The first part builds fluency in basic data manipulation, description, and analysis. The second part focuses on the principles and practical applications of data visualization. In the third part, students generate, analyze, and visualize a large dataset to answer a research question of their choice.

In an era where digital and social media platforms shape global interactions, a field referred to as “trust and safety” has emerged inside primarily US technology companies aimed at identifying and addressing the risks and harms individuals face online, including but not limited to fraudulent activities, cyberbullying, misinformation, hate speech, identity theft, privacy breaches, and exploitative content. This course explores the evolving landscape of trust and safety (T&S) within technology companies, including the history of the field, contemporary challenges, and tying it to the practice of global affairs. Through a multidisciplinary lens, students will explore how T&S intersects with topics such as national security, foreign policy, and tech policy, gaining insights into the complex dynamics shaping digital governance and online safety. Students will examine the strategies employed by T&S practitioners to anticipate, manage, and mitigate these risks, critically evaluating their efficacy in safeguarding digital spaces and fostering a climate of trust and integrity. This course will also explore the cultural, regulatory, and ethical considerations that inform T&S practices. Students will delve into the legal and regulatory frameworks that govern trust and safety practices in various jurisdictions, including laws such as Section 230, General Data Protection Regulation (GDPR), The Digital Services Act (DSA), Children’s Online Privacy Protection Act (COPPA), and their implications for content moderation and user privacy. By examining case studies and real-world examples, students will see what it is like to attempt to address thorny questions facing content moderators, policy makers, product managers, and leaders at technology companies.

Information and digital technologies have transformed the way modern societies operate over the last 20 years and introduced unprecedented opportunities as well as thorny policy challenges such as privacy, ethics, data rights, and competition. The meteoric rise of artificial intelligence in the last year has reinvigorated many of these recurring information policy challenges, and heightened tensions between the drive for rapid innovation alongside calls for regulation. Students will develop a foundational understanding of key concepts within information policy issues and apply it to information-intensive emerging technologies including AI/Generative AI, digital platforms and social media, smart devices/Internet of Things, and AR/VR/Metaverse. Students will build technical knowledge necessary to diagnose and remedy policy issues at hand, be able to discuss the ethical tradeoffs and nuances of contested issues from multiple perspectives, and curate a toolkit of policy approaches and regulatory options available for emerging tech. Relevant current events and technological developments will be incorporated into the course throughout the semester, and students will be expected to interact with many of the technologies discussed throughout to spark class discussion and inform future practice. This course will leave students with knowledge that will allow them to feel equally comfortable traversing the boardrooms of Silicon Valley and corridors of power within Washington DC.

This course would focus on technology, particularly military technology and dual use technology, as a variable in international relations.  It will consider questions such as how does technology drive security competition and how does it create or obstruct opportunities for cooperation. The course will identify attributes of technology that impact the coercive application of military power in world politics, from damage imposition to coercive leverage in bargaining. The analytic approach will be grounded in case studies of several major technology categories, most likely (1) nuclear technology, notably atomic weapons and power plants; (2) rockets, including precision strike capabilities, hypersonics, ballistic missiles, and space launch vehicles; (3) space systems, primarily satellites and other orbital platforms such as spacecraft and anti-satellite (ASAT) weapons; (4) chemical and biological and (5) artificial intelligence.

This course will examine two concurrent megatrends: the digitalization and decarbonization of the energy sector. With a particular emphasis on artificial intelligence approaches, students will engage in an in-depth exploration of the evolving dynamics within energy generation, transportation, consumption, and storage. Topics of study will encompass a wide spectrum, including the utilization of autonomous and electric vehicles, the assessment of energy consumption in data centers, the digital monitoring of emissions, cybersecurity threats to energy infrastructure, and various strategies for managing energy demand and implementing demand response initiatives. Furthermore, the course will critically assess the policies and frameworks necessary to facilitate robust digital solutions for achieving decarbonization objectives.

This course will explore how the emergence of generative AI is affecting issues of epistemic security (misinformation, influence operations, media consumption, academic integrity, etc.) and how advances in AI could shape our epistemic futures. Students will learn the basics of how foundation models, LLMs, image generation models, and multimodal models work, and how choices across the AI lifecycle, from development to deployment, can cause harmful outputs and/or could contribute to epistemic decline (e.g.: quality of sources on the Internet, issues with model confabulations, academic integrity). Furthermore, students will apply their knowledge of influence operations and misinformation gained from previous courses to understand how malicious actors could use AI to threaten epistemic security, as well as learn more about the current AI malicious actor ecosystem (for both state and non-state actors). Lastly, the course will delve deep into potential solutions to mitigate epistemic crises, from technical mitigations within AI models, content authentication approaches, to broader whole of society efforts (participatory governance, information literacy, etc.). Students put themselves in the shoes of various actors in the current AI ecosystem, specifically: large AI developers, social media platforms, and policymakers across the US government, to produce targeted outputs for the course. In addition, students will engage with and use generative AI tools to understand various types of harms and will also learn unique insights into the challenges of trust & safety in the AI space. Course outputs could include: an internal policy enforcement protocol for disinformation for a large AI developer, a policy memo for the Director of OSTP on AI and information integrity, an exercise to generate known mis/disinformation narratives using generative AI models, and more.

This course straddles the boundary between engineering and public policy related to Outer Space. It presents space policy and the effects that policy has on engineering decisions. It presents the underlying space systems engineering principles that necessitate space policy. Space is a highly technical and nonintuitive domain. Professionals working in any space-related field should have a basic understanding of the relationship between engineering and international public policy.

This course explores the link between security (national and international) and public health. Its primary target audience are students who may not have health security as a primary work responsibility in the future, but will need an understanding of how public health, biotechnology, emerging technologies like AI, and infectious diseases have national or international security implications. Students will gain an understanding of the impact disease has on security, and will have an opportunity to examine the policy, ethical, historical, and economic issues that surround biological sciences and security, including the development of medical countermeasures. Trends and advances in the biological sciences, their societal and health benefits, the potential threat of deliberate or accidental misuse, and preparations for a future pandemic will be explored. Students will gain an understanding of how past disease emergencies have intersected with national and international security from a US perspective, including COVID-19, Ebola (2014), and anthrax (2001), and ongoing US preparations for future health security events. While classes will be taught by Hopkins faculty, class sessions will also engage experts across the US Government, industry, and relevant policy organizations for lecture discussion and student interaction and networking.

The course examines one of the topics most central for the future of national security policy: artificial intelligence (AI). We will begin first by examining what AI is and isn’t, and discuss how the underlying technology works. We will then proceed to survey the national security landscape and consider how AI will impact key policy and strategy decisions in the near future. Topics discussed include autonomous weapons, intelligence collection and analysis, cyber attacks, disinformation, and technology competition. We will also focus on the AI strategies of the US and China. No technical background is required for this class, though we will introduce some important ideas that are relevant to how AI works. Students will be evaluated through a key concepts quiz that assesses understanding of important ideas. They will also be assigned one final paper in which they will take a stand on a proposition regarding AI’s policy impact. In addition, class participation is a vital component of this class, as a substantial portion of each week will be oriented towards discussion.

This seminar will examine the multiple ways in which technology is shaping economic development. It will first discuss the multiple meanings we attach to technology, how it drove the different industrial revolutions powering economic development and the role of innovation and diffusion of technology in that process. Second, it will examine the role of technology in addressing specific development challenges, from strengthening human capital to accessing energy to production and jobs in developing economies. Third, it will analyze the social and political forces unleased by technological change and how they affect the deeper determinants of development. Fourth, the seminar will survey the main policy instruments (from industrial policy to standards), that can help developing countries better leverage technology for development. The seminar will conclude by discussing the implications of the “Fourth Industrial Revolution” (IoT, 5G, AI) for the economic prospects of developing countries.

Ghost in the Machine traces the history of one of humanity’s most powerful and most consequential ideas: that humans could build machines that surpass themselves, in all faculties, and thus outwit our maker, ultimately cheating death and disease. This idea has become the best-funded futurist project of our time. We will investigate how mythical thinking about intelligent machines has evolved since World War II, what effects such thinking has had on the development of intelligent machinery, and how breakthroughs in neural networks, deep learning, and transformers over seventy years have shaped our capacity to foresee and manage the future of artificial—and human—intelligence.We will trace seven critical ideas: extinction, salvation, the intelligence explosion, training, black boxes, agents, and a curious vanishing act. The detailed historical reconstruction of innovation reveals how the technology actually works: students will acquire familiarity with some of the core concepts of artificial intelligence, such as neural networks, gradient descent, false peaks, vectorization, weights, backpropagation, self-attention, transformers, the scaling laws, interpretability, feature extraction, circuits, superposition, and alignment trends. Students will also gain appreciation for the key thinkers, innovators, and engineers who have shaped AI — its technology, its ideology, and its politics. No math or technical background is required. Rid will use this class as an experimental space to demo cutting edge AI-tools that enhance and accelerate the research and learning process — as they are getting updated and released.

How, and why, do states compete in cyberspace? Scholars of war and conflict have long divided their subject into three segments: the strategic, the operational, and the technical. The most widely discussed of these, strategy, focuses on big questions like deterrence. Technical analysis is also common in specialized courses and, in a topic like cybersecurity, requires a fair amount of computer science knowledge. In contrast, with its focus on the operational dynamics at play, this course bridges the gap between strategic concepts and technical details. Over the course of the semester, we will establish a model for offensive and defensive cyber operations and introduce key terms and concepts that can be flexibly deployed to understand a wide range of incidents, actors, and pressing policy debates. We will use these models and concepts to examine how different groups of hackers performed their missions and what outcome resulted. With this solid foundation established, we will use our operational understanding to re-examine strategic ideas and policy debates like deterrence, attribution, resilience, and persistent engagement in a new and more informed light.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.154[C]

Semiconductors are the quintessential foundational, and therefore geostrategic, technology. They are simultaneously essential for (a) military and defense technology, weaponry, and equipment; (b) geopolitically significant technologies, such as Artificial Intelligence (AI); and (c) the critical infrastructure and services upon which the daily functioning of societies rest, such as 5G networks and satellite communications. It is this breadth of use-cases that has raised the semiconductor industry from 'important' to the level of 'national security imperative’. This course will take students beyond the buzzwords to examine the technology (and technologies) in question, the supply chains underpinning them, the use-cases they enable as well as the ways in which those same use cases (most notably AI) are reshaping the industry, and the evolving and diverging security and economic interests animating the global policy landscape.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.176[C]

This class will explore the different economic, political, and civil tensions that have shaped cyber policy over the last 20 years. Too many practitioners of cyber policy and operations have not thought deeply about the underlying assumptions and history that current policies are based on. Similarly, there is minimal appreciation for how other countries experience the US-dominated approach to the development of the internet economy and how this shapes their own approach to cyber policy. Students will finish the class with an understanding of the fundamental principles of US cyber policy that have remained constant and emerging trends that are leading the US and other countries to assert greater dominance. The class will dive deeper into the accepted wisdom of established cyber norms and principles and determine whether the assumptions these are based on are flawed. Students will also gain a deeper understanding of the domestic and international dynamics that shape Russian and Chinese approach to cyber policy.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.178[C]

On a practical level, state-nexus cyberspace ("cyber") operations have become a ubiquitous element of contemporary intelligence activities. To that end, this course presents cyber operations through a traditional intelligence tradecraft lens. This includes the specific role and function of cyber operations when they are employed to support intelligence collection, counterintelligence, covert action, and operational enablement activities. Students will also be exposed to how unique elements of cyber activity (such as cybercrime tactics) can and have been leveraged in an intelligence context, the ethics of cyber operations as an intelligence activity, and case studies regarding how different countries approach the conduct of such activities. Students who complete this course will be prepared to interpret state-nexus cyber operations in the context of traditional intelligence contests between states.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.157[C]

Who are the hackers that dominate headlines? This course will answer that question not just with broad terms like “Russia” and “China” but with more focused and nuanced analysis. We will focus on known hacking groups, their methods, motivations, and relationship to greater geopolitical developments. The course will focus primarily on state-affiliated threats, though it will touch other realms of the cyberthreat ecosystem as well. Students completing this course will have a foundational knowledge of what nations are doing in cyberspace, an important step towards subject matter expertise.No background in computer science is necessary for this class, though you should be willing to push yourself out of your technical comfort zone and be persistent in learning new skills. We will examine many case studies of historic and contemporary adversary behavior. Students will gain strategic perspective by examining reporting that will include tactical, operational, and strategic insights. Many of these examples are available in the open source literature, but additional context will be provided in class discussion.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.110[C]

This course will explore how global actors have weaponized false or misleading information and personas to shape public perceptions, achieve strategic geopolitical goals, make money, and pollute the information environment. Students will study the new tools being used by state and non-state actors and examine the reach/effectiveness of disinformation campaigns in shaping public dialogue. In particular, this course will explore how the practice of influence operations has changed in the information age, how both state and non-state actors weaponize technology, social networks, and other tools for dissemination, and what makes human beings and societies vulnerable to influence operations. In addition to covering state- sponsored influence operations, this course will also dive into financially motivated operations, the role of traditional media and state media, and the inadvertent spread of viral false information, otherwise known as misinformation. Students will study how to detect influence campaigns using open-source investigative techniques and discuss the difficulties of attribution particular to the influence operations space. Finally, this course will explore regulatory, diplomatic, technological, and societal mitigations and interventions aimed at protecting the information environment, assessing their effectiveness.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.140[C]

States and those vying for power have engaged in spying for millennia, but it is only in the modern era that they have developed formalized structures and tradecraft to counter the intelligence activities of their adversaries. These entities have hadto adapt to ever-changing threats and have often been used against both internal and external enemies. Even within the last century, the mandate of Western counterintelligence agencies has transformed from a focus on wartime spies, to countering the Cold War activities of the Great Game, to tackling non-traditional/cyber collectors and countering lethal operations. While the threat is constantly evolving, counterintelligence professionals rely on a core set of strategies to identify and ultimately disrupt adversarial activity. The application of these strategies varies across the world, but effective counterintelligence involves an offensive posture often at odds with the culture or foreign policy of various states. This course is designed as an intensive seminar covering the above elements of counterintelligence, from the theoretical to the historical to the practical. It will seek to build a foundation for further application in fields such as cyber security, intelligence analysis, and national security policy. It will also explore the friction between counterintelligence agencies and other parts of government and evolution of oversight over time. This course will employ scenario-based learning in which groups will be assigned to plan and execute theoretical counterintelligence policies, operations, and countermeasures based on constantly evolving information. The practical exercise will mirror the course structure and address increasingly complex issues.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.170[C]

The US cyber apparatus is an oft-discussed but little understood instrument of US national power. This course will define the defensive and offensive cyber elements of the USG and private sector and explain the historical evolution of the terms and concepts. This will include a basic overview of the evolution of the internet, the concepts of computer network exploitation vs computer network attack, and a study of nation state and non-nation state cyber threats. This baseline understanding will then allow students to understand the economic, military, and counter-intelligence threat posed by adversary cyber actors and methods for the USG and private sector to counter these threats. Finally, with this knowledge on-hand, students will debate the efficacy of recently published National Cyber Strategy and associated policies and pending legislation.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.175[C]

The rise of computer network operations is an increasingly well-known story. This course explores the missing flip-side of cyber espionage: the neglected twenty-year story of one of the most momentous and radical shifts in the entire history of intelligence—the rise of digital counterintelligence. This hidden revolution was powered by a tripod of forces, all coming to the fore in the mid-2010s: the explosive growth of digital espionage; the extraordinary rise of an alternative, entrepreneurial investigative community that cut across sectors and borders; and by the drip-drip of three vast, unprecedented, and unique intelligence leaks. The class traces the evolution of some of the core conceptual frameworks and essential tools of threat intelligence and digital forensics, such as the “advanced persistent threat,” the cyber kill chain, indicators of compromise, network monitoring, malware analysis, and attribution. The class will, unlike any other class anywhere, illustrate and contrast the rise of private sector APT hunting with a detailed chronological look at how Five Eyes intelligence agencies pioneered “counter computer network exploitation.” We will explore core intelligence concepts of passive collection, active-passive integration, signals intelligence development, implant frameworks, and fourth party collection.

Prerequisite(s): Students may not register for this class if they have already received credit for SA.502.199[C]

The world is embarking on a biotechnology revolution, with new biological tools that impact not just human health but also energy, climate change, food systems, supply chains, and national security. Over the past 3 years, multiple federal biotechnology policies have accelerated the expansion of the bioeconomy, and our nation finds itself at an inflection point. This course aims to inspire a new generation of bio-literate policy leaders by exploring the current and future impacts of biotechnology, the biotech policy ecosystem, and the pathways by which policy ideas are implemented. The course is designed for non-technical students interested in pursuing policy roles that influence the rapidly evolving field of biotechnology. The first third of the course is focused on developing a foundational understanding of key concepts in biology, providing the knowledge necessary to engage effectively with technical subject matter experts. The remainder of the course leverages the case study method to help students examine the impact of policy (i.e., industrial policy, regulation, standards, etc.) on the advancement of biotech. This will include a focus on the startup ecosystem and considerations that impact investor decisions on financing biotech startups. Additionally, students will examine the ways in which policies such as the Bioeconomy Executive Order came to fruition. By the end of the course, students will not only understand the magnitude of biotechnology’s potential but also feel empowered to shape its future through thoughtful and informed policy making.

This course examines how democracies can respond to propaganda, covert influence, and political warfare. Co-taught by instructors with experience in journalism, intelligence, and policy, the course combines theory with practice, asking what democratic resilience looks like in an era of global information confrontation. Drawing on historical and contemporary case studies—from World War II black radio and Cold War psyops to modern-day Ukraine and recent U.S. elections—the course explores tools and strategies that can be employed today across government, technology platforms, and civil society.

The political economy of AI explicitly or implicitly shapes arguments about the consequences of AI for politics and policy. Will AI continue to scale until it produces super-human intelligence? Will it continue to need enormous amounts of human generated data? What consequences will it have for the working of the economy and bureaucracy? And how will its benefits and costs be distributed among different social groups? In this seminar class, we will explore emerging debates over how the technology of AI intersects with classic debates in political economy.

Artificial intelligence, semiconductors, and biotechnology are transforming national security, creating new vulnerabilities, reshaping power dynamics, and forcing governments to rethink how they compete. This course explores how the United States and China are navigating this technological rivalry, examining the strategies, policies, and tradeoffs that could shape the future of global power. By the end of the course, students will be able to assess policy tools like export controls, investment restrictions, and industrial policy; evaluate the risks and opportunities these technologies present; and contribute informed analysis to debates about technology governance and national security.

This graduate seminar examines how emerging technologies are reshaping the practice of diplomacy, the exercise of state power, and the geography of international relations. As artificial intelligence, quantum computing, biotechnology, and other frontier technologies increasingly determine economic competitiveness and military advantage, states face unprecedented challenges in crafting coherent strategies that integrate industrial policy, diplomatic engagement, and national security imperatives. The course interrogates how states use industrial policy tools—from subsidies and export controls to research investments and standard-setting—to secure technological advantages while managing the diplomatic consequences of these choices. It will examine emerging frameworks for technology governance, including attempts at international norm-setting, multilateral export control regimes, and bilateral technology agreements that blur traditional boundaries between economic and security policy. Through case studies spanning semiconductor competition, AI governance initiatives, quantum technology supply chains, and biotechnology data sharing, the seminar explores how technological change is producing new forms of statecraft. Students will grapple with questions of techno-nationalism versus international cooperation, the role of private sector actors in shaping foreign policy outcomes, and how states balance innovation imperatives against security concerns. The course prepares students to think strategically about technology policy as a central domain of contemporary international relations, equipping them to analyze and contribute to debates at the intersection of technological change and state power.

Large language models are the most consequential professional tool to emerge in generations. LLMs are rewiring the daily practice of every profession that runs on reading, writing, analyzing, designing, and building through code. Students who master these instruments, and who can spot the exact points at which they fail, will hold a durable advantage in any field they enter. This seminar is a practical guide to that mastery, grounded in both theory and practice. The course is taught in two halves.Part 1 — Foundations (Thomas Rid). The first half builds the conceptual scaffolding: what language models are, mechanically and mathematically; how frontier models are trained, scaled, aligned, and evaluated. Sessions cover model capabilities and failure modes, prompting as a craft, verification and source-checking workflows, interpretability research, and the hard problems along the way. Because the frontier moves faster than any syllabus, this half also functions as a live laboratory in which students test cutting-edge tools as they ship, including releases that postdate the first day of class. The goal is calibrated trust: knowing when to lean on a model, when to second-guess it, and when to put it down.Part 2 — Applications (Lee Foster). The second half moves from understanding models to deploying them. Students will work with agents and multi-step pipelines: LLMs operating as components inside larger systems. Sessions are hands-on and oriented around the tasks professionals actually face: deep research, document analysis, coding, quantitative work, structured brainstorming, reading at scale, and writing under deadline. The half culminates in a semester-long project in which each student builds a working AI tool or pipeline addressing a problem from their own domain. The project is the principal assessment.

Our space systems are under attack. Cyberattacks are among the most prevalent threats to space assets. They are often stealthy, inexpensive and highly effective at achieving an adversary’s goal – be it data corruption, IP theft or physical destruction of the satellite. Given space systems are complex, composing ground stations, communications and satellites the surface area of attack is vast and considering the constrained computing capacity of space systems, many traditional security mechanisms are not applicable. This course provides an introduction to how an adversary would approach attacking a satellite, opportunities for systems engineers to develop cyber-resilient assets and relevant policies and best practices to support space system cybersecurity.

This course is a deep dive into how advances in artificial intelligence are reshaping the foundations and instruments of national power. The course explores the evolution of AI technologies and possible future pathways; the strategies pursued by governments and private-sector actors to harness AI for economic, political, and military advantage; and the emerging competition and cooperation among states with differing technological capabilities and geopolitical positions. Students will analyze models for AI governance, assess approaches to integrating AI into economies and societies, and evaluate how AI is transforming intelligence, diplomacy, and warfare. The course equips students with an analytical framework for interpreting the strategic implications of AI and for integrating technological change into traditional theories and practices of statecraft.

With advances in artificial intelligence and pervasive digitization, policymakers must now contend with ethical dilemmas including such issues as facial recognition, voter profiling and exclusion, labor displacement, algorithmic bias, and addiction. Beyond risks, policymakers must ensure that the communities in greatest need of the benefits of technology benefit from and have the ability to access it safely. Through engagements with digital development practitioners, the Practicum seeks to expose students to the tradeoffs involved in digitization and the ethical dimensions of these choices, while also providing participating clients with well-considered advice and recommendations on these tradeoffs. Note: successful completion of this course fulfills the capstone requirement for second-year MAIR students. <a href="https://livejohnshopkins.sharepoint.com/sites/SAISInsider2/SitePages/DC-Capstones,-Professional-Skills-Courses.aspx" target="_blank">Click here for Capstone course application information</a>

Computer attacks, disruption and data theft, along with the challenges posed by emerging technologies including Artificial Intelligence, are rapidly becoming core national and economic security matters and, consequently, an emerging foreign policy imperative. This course examines the rapidly evolving field of Cyber Diplomacy and the geopolitical and national security aspects of cyberspace and emerging technologies that it attempts to address. Students will learn about cyber threats and threat actors, the numerous contentious policy debates in cyberspace, and discuss actions governments, regional and multilateral organizations and non-state actors are taking to address the threat and governance challenges. They will explore what “cyber diplomacy” means, including diplomatic structures, doctrines, cooperative mechanisms and capabilities, examine comparative national cyber strategies, explore aspects of “cyber warfare,” assess collective action against cyber threats and explore whether deterrence is possible in cyberspace. They will also learn about regional initiatives (including at the EU level) and multi-lateral efforts in the UN, including stability frameworks and a recently concluded UN Cybercrime Convention. Students will also explore how geopolitical shifts, in particular, those by the US, have or will affect cooperation in cyberspace and in governing emerging technologies including AI. The course will be taught by Chris Painter, a former cybercrime prosecutor, senior White House official, and one of the world’s first cyber diplomats, and will be punctuated by real life cases and behind the scenes stories based on his experience.