사회 가이드

The EU Digital Services Act and Generative AI

The Digital Services Act regulates intermediary services and online platforms, while the AI Act regulates defined AI systems and actors.

  • 4분 읽기
  • 마지막 업데이트
이 페이지에서4분 읽기
  1. 개요
  2. 심층 분석
  3. 전략적 영향
  4. The Future of The EU Digital Services Act and Generative AI
  5. 실제 구현
  6. 위험 및 가드레일
  7. 구현 로드맵
  8. 계속 탐색하세요
  9. 자주 묻는 질문

개요

Generative AI can matter under both when it is integrated into a covered platform or affects how content and recommendations operate.

심층 분석

The Digital Services Act (DSA) creates due-diligence duties for intermediary services, with additional obligations for online platforms and the strictest systemic-risk duties for designated very large online platforms and search engines (VLOPs and VLOSEs). It does not generally ban generative AI or decide whether a piece of content is lawful. Instead, it sets processes and safeguards for services that host, distribute, recommend, or search for content. Other law determines what content is illegal. Generative AI may affect a service’s risks in several ways: users may upload synthetic material, platform tools may generate or transform content, and recommender systems may amplify content regardless of its origin. Under DSA Articles 34 and 35, VLOPs and VLOSEs assess systemic risks arising from the design, functioning, and use of their services and take reasonable, proportionate measures tailored to identified risks. Relevant concerns include dissemination of illegal content, negative effects on fundamental rights, civic discourse, electoral processes, public health, and minors. The AI Act addresses different actors and system categories. Where a general-purpose AI model with systemic risk is integrated into a VLOP or VLOSE, both laws may be relevant, but their risk frameworks are distinct. The AI Act considers model-level risks and provider duties; DSA assessment considers service-level risks connected to reach, design, operation, and use. One cannot assume that satisfying one framework resolves every obligation under the other. For a platform adding an AI image generator or chatbot, the first steps are to determine its DSA service category and whether it has a VLOP/VLOSE designation, then map how the feature changes content distribution and user exposure. The platform should examine relevant risk evidence and consider proportionate mitigations such as interface, moderation, recommender, or internal-process changes. Whether a particular measure is required depends on the identified risks and law. The DSA and AI Act should be read alongside data protection, consumer, copyright, and other applicable rules.

전략적 영향

위험과 안전

치명적인 AI 피해와 일상적인 AI 피해는 누가 위험을 이해하고 누가 조치를 취할 수 있는지에 따라 달라집니다.

더 명확한 결정들

공공 및 전문 지식은 강력한 안전 정책이 정치적으로 가능한지 여부를 결정합니다.

과장된 과장을 뚫고 나가기

명확한 설명은 과대광고, 연구실 홍보, 모호한 윤리 연극에 의한 포착을 줄입니다.

The Future of The EU Digital Services Act and Generative AI

Platforms are likely to improve risk inventories to capture generative features, synthetic-content flows, and recommender effects across languages and communities. Better measurement may connect launches to user exposure and observed harms, helping providers choose proportionate interventions. The DSA requires periodic assessment and review; no single detection tool solves systemic problems. As products change, providers should reassess before material features launch and preserve evidence about mitigation outcomes for later review. Guidance may continue to clarify how services document emerging harms. Teams should record why selected measures fit the evidence.

실제 구현

A designated very large platform assesses whether a new AI image feature could change the spread of harmful content and updates its service-level risk assessment.

A social network checks how recommender ranking amplifies synthetic election claims and evaluates proportionate changes.

A chatbot provider and a platform separately map their AI Act provider duties and the platform’s DSA obligations.

A marketplace records that the DSA process governs service due diligence while product-safety rules may separately govern listed goods.

위험 및 가드레일

  • 실존적 위험을 공상과학처럼 다루면서 능력을 합성합니다.

  • 높은 자율성 하에서 정렬과 표면 제품 안전성을 혼동합니다.

  • 영어가 아니거나 전문가가 아닌 청중에게는 품질이 낮은 소스만 남겨 둡니다.

구현 로드맵

  1. 제품 손상, 오용, 통제력 상실/잘못 정렬 위험을 분리합니다.

  2. 일정과 심각도에 대한 귀하의 견해를 바꿀 수 있는 증거가 무엇인지 물어보십시오.

  3. 마케팅 주장보다 기본 소스와 구체적인 평가를 선호하세요.

  4. 인식뿐만 아니라 경력, 정책, 자금 조달 또는 기술 등 하나의 행동 경로를 식별하십시오.

계속 탐색하세요

Free newsletter

Get the daily AI briefing

Three verified AI stories every weekday morning, written in plain English. Free forever, no ads.

One email each weekday. Unsubscribe in one click. We never sell or share your address.

Test yourself

Take the The EU Digital Services Act and Generative AI quiz

Instant feedback on every answer, and a shareable certificate with a verifiable ID once you pass a course.

퀴즈 시작

Support free AI education. AI Understanding is a 501(c)(3) nonprofit — no ads, no paywall, ever. Make a donation

자주 묻는 질문

What is The EU Digital Services Act and Generative AI?

The Digital Services Act regulates intermediary services and online platforms, while the AI Act regulates defined AI systems and actors. Generative AI can matter under both when it is integrated into a covered platform or affects how content and recommendations operate.

What does the DSA primarily regulate?

The DSA addresses online intermediary services and their obligations.

Which providers have the DSA’s specific systemic-risk duties in Articles 34 and 35?

These systemic-risk duties apply to designated very large platforms and search engines.

How does the DSA frame its systemic-risk assessment?

The DSA assessment concerns the online service and its systems.

How can generative AI be relevant to DSA analysis?

AI can change risks, but does not determine platform status or legality by itself.

How often must covered providers assess systemic risks?

Article 34 describes recurring assessments and pre-launch assessment for critical functionalities.