AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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AI can change the tasks inside jobs, the way work is organized, and demand for particular skills.
SamfunnAI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.
SamfunnAI regulation is the set of legal requirements that can apply to developing, selling, or using AI systems.
SamfunnCommon AI myths confuse a system’s observable behavior with broader claims about knowledge, reliability, autonomy, or understanding.
SamfunnThe future of AI is uncertain and depends on technical progress, resources, policy, economics, and human choices.
SamfunnAI påvirker samfunnet gjennom institusjonene, tjenestene, informasjonssystemene og arbeidsplassene som tar den i bruk.
Språk AIReverseringsforbannelsen er en overraskende feilmodus der en språkmodell som lærer 'A er B' ikke kan svare pålitelig 'B er A.
Språk AI"Tapt i midten"-effekten er språkmodellers tendens til å bruke informasjon best når den vises i starten eller slutten av en lang inndata...
Språk AIEmergent evner er ferdigheter som plutselig dukker opp i store språkmodeller når de passerer en viss skala, selv om mindre modeller ikke viste noen tegn til dem.
TechnicalBYOL (Bootstrap Your Own Latent) lærer nyttige bilderepresentasjoner uten noen etiketter og, overraskende nok, uten negative eksempler.
TechnicalBarlow Twins er en selvovervåket metode som lærer representasjoner ved å lage krysskorrelasjonsmatrisen mellom to utvidede visninger nær identiteten ...
TechnicalPseudo-merking er en semi-overvåket teknikk der en modell trent på et lite merket sett genererer sine egne etiketter for umerkede data, og deretter trener på disse...
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