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Worldwide Coverage college students will probably be spending their careers in an AI-enabled world. We wished our college students to be ready for it. That is why we’ve adopted and built-in AI in our Stanford nationwide safety coverage class – Know-how, Innovation and Nice Energy Competitors.
Right here’s what we did, how the scholars used it, and what they (and we) realized.
Know-how, Innovation and Nice Energy Competitors is a global coverage class at Stanford (taught by me, Eric Volmar and Joe Felter.) The course supplies future coverage and engineering leaders with an appreciation of the geopolitics of the U.S. strategic competitors with nice energy rivals and the position vital applied sciences are enjoying in figuring out the result.
This course consists of all that you’d count on from a Stanford graduate-level class within the Masters in Worldwide Coverage – complete readings, visitor lectures from present and former senior coverage officers/consultants, and deliverables within the type of written coverage papers. What makes the category distinctive is that that is an experiential coverage class. College students kind small groups and embark on a quarter-long challenge that acquired them out of the classroom to:
- choose a precedence nationwide safety problem, after which …
- validate the issue and suggest an in depth resolution examined towards precise stakeholders within the know-how and nationwide safety ecosystem
The category combines a number of instructing instruments.
- Actual world – College students labored in groups on actual issues from authorities sponsors
- Experiential – They get out of the constructing to interview 50+ stakeholders
- Views – They get coverage context and insights from lectures by consultants
- And this yr… Utilizing AI to Speed up Studying
Rationale for AI
Utilizing this quarter to introduce AI we had three issues going for us: 1) By fall 2024 AI instruments have been good and getting exponentially higher, 2) Stanford had arrange an AI Playground enabling college students to make use of quite a lot of AI Instruments (ChatGPT, Claude, Perplexity, NotebookLM, Otter.ai, Mermaid, Stunning.ai, and so on.) and three) many college students have been utilizing AI in lessons however it was normally ambiguous about what they have been allowed to do.
Coverage college students need to learn reams of paperwork weekly. Our hypotheses was that our pupil groups may use AI to ingest and summarize content material, determine key themes and ideas throughout the content material, present an in-depth evaluation of vital content material sections, after which synthesize and construction their key insights and apply their key insights to unravel their particular coverage drawback. They did all that, and far, a lot, extra.
Whereas Joe Felter and I had arm-waved “we have to add AI to the category” Eric Volmar was the true AI hero on the instructing workforce. As an AI energy consumer Eric was most frequently forward of our college students on AI abilities. He threw down a problem to the scholars to repeatedly use AI creatively and informed them that they’d be graded on it. He pushed them laborious on AI use in workplace hours all through the quarter. The outcomes under converse for themselves.
In case you’re not conversant in these AI instruments in follow it’s value watching these one minute movies.
Group OSC
Group OSC was making an attempt to know what’s the acceptable stage of monetary threat for the U.S. Division of Protection to supply loans or mortgage ensures in know-how industries?
The workforce began utilizing AI to do what we had anticipated, summarizing the stack of weekly coverage documentsusing Claude 3.5. And like all groups, the sudden use of AI was to create new leads for his or her stakeholder interviews. They discovered that they might ask AI to provide them a listing of leaders that have been concerned in related applications, or that have been concerned of their program’s preliminary phases of growth.
See how Group OSC summarized coverage papers right here:
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Claude was additionally in a position to create a listing of leaders with the Division of Vitality Title17 credit score applications, Exim DFC, and different federal credit score applications that the workforce ought to interview. As well as, it created a listing of leaders inside Congressional Finances Workplace and the Workplace of Administration and Finances that will be capable of present insights. See the demo right here:
In case you can’t see the video click on right here
The workforce additionally used AI to transcribe podcasts. They seen that key leaders of the organizations their drawback got here from had produced podcasts and YouTube movies. They used Otter.ai to transcribe these. That supplied further context for after they did interview them and allowed the workforce to ask insightful new questions.
In case you can’t see the video click on right here
Notice the ability of fusing AI with interviews. The interviews floor the information within the groups lived expertise.
The workforce got here up with a use case the instructing workforce hadn’t considered – utilizing AI to critique the workforce’s personal hypotheses. The AI not solely gave them criticism however supported it with hyperlinks from revealed students. See the demo right here:
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One other use the instructing workforce hadn’t thought was utilizing Mermaid AI to create graphics for his or her weekly shows. See the demo right here:
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The surprises from this workforce stored coming. Their final was that the workforce used Stunning.ai with a purpose to generate PowerPoint shows. See the demo right here:
In case you can’t see the video click on right here
For all groups, utilizing AI instruments was a studying/discovery course of all its personal. By and huge, college students have been largely unfamiliar with most instruments on day 1.
Group OSC prompt that college students ought to begin utilizing AI instruments early within the quarter and experiment with instruments like ChatGPT, Otter.ai. Instruments that which have steep studying curves, like Mermaid must be began on the very begin of the challenge to coach their fashions.
Group OSC AI instruments abstract: AI instruments should not good, so make sure that to cross test summaries, insights and transcriptions for accuracy and relevancy. Be actually vital of their outputs. The largest takeaway is that AI works finest when ready with human efforts.
Group FAAST
The FAAST workforce was making an attempt to know how can the U.S. enhance and scale the DoE FASST program within the pressing context of nice energy competitors?
Group FAAST began utilizing AI to do what we had anticipated, summarizing the stack of weekly coverage paperwork they have been assigned to learn and synthesizing interviews with stakeholders.
One of many options of ChatGPT this workforce appreciated, and necessary for a nationwide safety class, was the momentary chat function – knowledge they entered wouldn’t be used to coach the open AI fashions. See the demo under.
In case you can’t see the video click on right here
The workforce used AI do just a few new issues we didn’t count on – to generate emails to stakeholders and to create interview questions. Throughout the quarter the workforce used ChatGPT, Claude, Perplexity, and NotebookLM. By the tip of the 10-week class they have been utilizing AI to do just a few extra issues we hadn’t anticipated. Their use of AI expanded to incorporate simulating interviews. They gave ChatGPT particular directions on who they wished it to behave like, and it supplied personalised and customized solutions. See the instance right here.
In case you can’t see the video click on right here
Studying-by-doing was a key a part of this experiential course. The large thought is that college students study each the strategy and the subject material collectively. By studying it collectively, you study each higher.
Lastly, they used AI to map stakeholders, get recommendation on their subsequent coverage transfer, and requested ChatGPT to evaluation their weekly slides (by screenshotting the slides and placing them into ChatGPT and asking for suggestions and recommendation.)
The FAAST workforce AI software abstract: ChatGPT was particularly good when utilizing pictures or screenshots, so in these multi-level duties, and if you wished to make use of form of extra customized directions, as we used for the stakeholder interviews. Claude was higher at extra conversational and human in writing, so used it when sending emails. Perplexity was higher for researchers as a result of it supplies citations, so that you’re in a position to entry the net and truly get directed to the supply that it’s citing. NotebookLM was one thing we tried out, however it was not as profitable. It was a cool software that allowed us to summarize particular coverage paperwork right into a podcast, however the summaries have been typically fairly imprecise.
Group NSC Vitality
Group NSC Vitality was engaged on a Nationwide Safety Council drawback, “How can america generate adequate power to help compute/AI within the subsequent 5 years?”
At the beginning of the category, the workforce started through the use of ChatGPT to summarize their coverage papers and generate tailor-made interview questions, whereas Claude was used to synthesize analysis for background understanding. As ChatGPT often hallucinated info, by the tip of the category they have been cross validating the summaries by way of Perplexity professional.
The workforce additionally used ChatGPT and Mermaid to arrange their ideas and decide who they wished to speak to. ChatGPT was used to generate code to place into the Mermaid flowchart organizer. Mermaid has its personal language, so ChatGPT was useful, so we didn’t need to study all of the syntax for this language.
See the video of how Group NSC Vitality used ChaptGPT and Mermaid right here:
In case you can’t see the video click on right here
Group Alpha Technique
The Alpha Technique workforce was making an attempt to find whether or not the U.S. may use AI to create a whole-of-government decision-making manufacturing facility.
At the beginning of sophistication, Group Alpha Technique used ChatGPT.40 for coverage doc evaluation and abstract, as nicely for stakeholder mapping. Nevertheless, they found going one after the other by way of the numerous numbers of articles was time consuming. So the workforce pivoted to utilizing Pocket book LM, for doc search and cross evaluation. See the video of how Group Alpha Technique used Pocket book LM right here:
In case you can’t see the video click on right here
The opposite instruments the workforce used have been customized Gpts to construct stakeholder maps and diagrams and set up interview notes. There’s going to be all kinds of specialised Gpts. One which was actually useful, they stated, was a scholar GPT.
See the video of how Group Alpha Technique used customized GPTs:
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Like different groups, Alpha Technique used ChatGPT to summarize their interview notes and to create circulation charts to stick into their weekly shows.
Group Congress
The Congress workforce was exploring the query, “if the Division of Protection got financial devices of energy, which instruments can be handiest within the present techno-economic competitors with the Individuals’s Republic of China?”
As different groups discovered, Group Congress first used ChatGPT to extract key themes from tons of of pages of readings every week and from press releases, articles, and laws. In addition they used for mapping and diagramming to determine potential relationships between stakeholders, or to creatively counsel alternate visualizations.
When Group Congress weren’t in a position to attain their sponsor within the preliminary two weeks of the category, very like Group OSC, they used AI instruments to fake to be their sponsor, a member of the protection modernization caucus. As soon as they realized its utility, they continued to do mock interviews utilizing AI position play.
The workforce additionally used personalized fashions of ChatGPT however of their case discovered that this was restricted within the variety of paperwork they might add, as a result of that they had quite a lot of content material. In order that they used retrieval augmented era, which takes in a consumer’s question, and matches it with related sources of their information base, and fed that again out because the output. See the video of how Group Congress used retrieval augmented era right here:
In case you can’t see the video click on right here
Group NavalX
The NavalX workforce was studying how the U.S. Navy may develop its capabilities in Intelligence, Surveillance, and Reconnaissance (ISR) operations on basic maritime site visitors.
Like all groups they used ChatGPT to summarize and extract from lengthy paperwork, organizing their interview notes, and defining technical phrases related to their challenge. On this video, notice their use of prompting to information ChatGPT to format their notes.
See the video of how Group NavalX used tailor-made prompts for formatting interview notes right here:
In case you can’t see the video click on right here
In addition they requested ChatGPT to position play a critic of our argument and resolution in order that we may discover the weaknesses. In addition they started importing many interviews directly, and requested Claude to seek out themes or concepts in frequent that they could have missed on their very own.
Right here’s how the NavalX workforce used Perplexity for analysis.
In case you can’t see the video click on right here
Like different groups, the NavalX workforce found you possibly can customise ChatGPT by telling it the way you need it to behave.
In case you can’t see the video click on right here
One other stunning perception from the workforce is that you should utilize ChatGPT to inform you how you can write higher prompts for itself.
In case you can’t see the video click on right here
In abstract, Group NavalX used Claude to translate texts from Mandarin, and located that ChatGPT was one of the best for writing duties, Perplexity one of the best for analysis duties, Claude one of the best for studying duties, and pocket book LM was one of the best for summarization.
Classes Realized
- Integrating AI into this class took a devoted teacher with a mission to create a brand new solution to train utilizing AI instruments
- The outcome was AI vastly enhanced and accelerated studying of all groups
- It acted as a useful collaborator
- Fusing AI with stakeholders interviews was particularly highly effective
- At the beginning of the category college students have been conversant in just a few of those AI instruments
- By the tip of the category they have been fluent in lots of extra of them
- Most groups invented artistic use instances
- All Stanford lessons we now train – Hacking for Protection, Lean Launchpad, Entrepreneurship Inside Authorities – have AI built-in as a part of the course
- Subsequent yr’s AI instruments will probably be substantively higher
Filed underneath: Buyer Growth, Gordian Knot Middle for Nationwide Safety Innovation, Nationwide Safety, Know-how Innovation and Nice Energy Competitors |
