Comprehensive Study Guide on Digital Rights, AI Systems, and Constitutional Law

Applicability of Basic Rights to Recourse for Non-Germans Abroad

Under the constitutional framework of Germany, German basic rights (Grundrechte) are not strictly limited to German territory. Instead, they bind the German state even when it acts abroad. The decisive factor for the application of these rights is the action taken by German authorities (deutsche Stellen), not the physical location where the measure is executed. This principle extends to state actions occurring in cyberspace.

For rights designated as "Everyman" rights (Jedermann-Grundrechte), the citizenship of the individual involved is irrelevant. Such rights include those found in $Art.\,1$, $Art.\,2\,II$, $Art.\,10$, and $Art.\,4$ of the Basic Law ($Grundgesetz$ or $GG$). These protect human dignity, life and physical integrity, the privacy of correspondence/telecommunications, and freedom of religion and conscience respectively, regardless of the person's national background or current location.

Jurisdictional Distinction: GRCh vs. GG

The determination of whether the Charter of Fundamental Rights of the European Union ($GRCh$) or the German Basic Law ($GG$) applies depends on the legal context of the state's action.

Protection is determined by the $GRCh$ when Member States are implementing European Union law or when the specific case is governed by Union law, such as EU Regulations like the General Data Protection Regulation ($DSGVO$). In these instances, the $GRCh$ serves as the standard of review, and the Court of Justice of the European Union ($EuGH$) holds the authority for their interpretation.

Conversely, the $GG$ applies when Union law is not relevant and exclusively German law is being applied. In these cases, the standard of review is the German Basic Law, and the Federal Constitutional Court ($BVerfG$) is responsible for its adjudication. This distinction significantly impacts the legal standard used during judicial review.

Constitutional Rights Between Private Parties in the Digital Sphere

Basic rights generally apply between private individuals (such as users and social media platforms like Facebook) only indirectly, a concept known as $mittelbare\,Drittwirkung$ (indirect third-party effect). While private entities are typically not bound directly by basic rights, these rights are viewed as an objective order of values that must permeate the entire legal system. When a court decides a dispute between two private parties, it must interpret the provisions of the German Civil Code ($BGB$) in light of these constitutional values.

Furthermore, the state has a duty to protect (Schutzpflicht), requiring it to develop laws that effectively protect basic rights in private interactions. On the internet, this often involves balancing conflicting basic rights, such as freedom of expression ($MF$) and the general right of personality ($APR$), using the principle of "practical concordance" ($praktische\,Konkordanz$). This aims to achieve the greatest possible manifestation of both rights without one completely negating the other.

Due to their central importance to public discourse, social networks carry a special constitutional responsibility. In exceptional cases, they may be bound by the principle of equality and are required to provide users with fair procedural rights, such as a hearing ($Anhörung$) and a justification for the decision before an account is suspended or blocked.

Basic Rights Capacity of AI Systems

Artificial Intelligence ($AI$) systems are currently not considered holders of basic rights ($grundrechtsfähig$). The German Basic Law is inherently anthropocentric, meaning it is centered on human beings. The primary subjects of basic rights are natural persons.

AI systems lack the status of natural persons; they do not possess human dignity and are not self-determined. While there is a theoretical debate regarding whether an "E-Person" could fall under $Art.\,19\,III\,GG$ (which extends certain rights to legal persons), the current legal consensus remains that AI does not hold these protections independently.

The European Convention on Human Rights (EMRK)

The European Convention on Human Rights ($EMRK$), overseen by the Council of Europe, supplements the protection of basic rights. In Germany, the $EMRK$ holds the rank of a federal law. While it does not take precedence over the Basic Law ($GG$), it significantly influences the interpretation provided by the Federal Constitutional Court ($BVerfG$).

If a member state violates human rights under the convention, the European Court of Human Rights ($EGMR$) is the competent authority to hear the case. Key articles within the $EMRK$ that relate to the digital dimension include $Art.\,8\,I$ (Right to respect for private and family life), $Art.\,10\,I$ (Freedom of expression), and $Art.\,14$ (Prohibition of discrimination).

Digital Dimensions of the General Right of Personality (APR)

Several specific rights are derived from $Art.\,2\,Abs.\,1$ in conjunction with $Art.\,1\,Abs.\,1\,GG$ that have specific relevance to the digital era. These categorized dimensions of the General Right of Personality ($APR$) include:

1. The right to self-determination, specifically the right to informational self-determination ($RISB$).
2. The right to self-preservation ($Selbstbewahrung$).
3. The right to self-representation ($Seldbstdarstellung$).

The combination of self-preservation and self-representation forms what is often called the "IT Basic Right."

Associated with the temporality of freedom is the "Right to be Forgotten." This principle suggests that the legal order should grant everyone the chance for a "new beginning in freedom," preventing digital artifacts from social or legal mistakes of the past from haunting individuals indefinitely.

Historical Foundations: The Census Judgment

The Federal Constitutional Court ($BVerfG$) established the right to informational self-determination in the landmark "Census Judgment" ($Volkszählungsurteil$). The court determined that individuals must have "normative flank protection" regarding their data. Constitutional protection is triggered at the stage of "personality danger," meaning even before actual harm occurs, the mere potential for misuse or over-collection of data can constitute a violation.

The IT Basic Right: Confidentiality and Integrity of Information Technology Systems

This specific right protects individuals from state access to information technology systems such as smartphones, computers, or other networked devices. It is derived from the $APR$ and specifically guards against secret online searches or other forms of state infiltration of IT systems. The core of the right is the trust that state action remains free from surveillance that allows deep insights into private life or personality analysis.

There is a critical distinction between the Right to Informational Self-Determination ($RISB$) and the IT Basic Right ($IT-GR$):

• $RISB$: Protects against the collection, storage, and use of individual pieces of personal data.
• $IT-GR$: Protects the system as a whole. It has a gap-filling function, intervening when other rights (like the privacy of telecommunications) do not provide sufficient protection against the state's ability to gain a comprehensive profile of an individual's life through system infiltration.

Sources of Telecommunications Surveillance (Quellen-TKÜ)

Under $Art.\,10\,I\,GG$, the privacy of correspondence, post, and telecommunications is protected. A modern form of this is "Source TKÜ" ($Quellen-Telekommunikationsüberwachung$), which involves intercepting messages directly on a target's end device. Unlike traditional surveillance, which intercepts data during transmission, Source TKÜ reads messages at the "source" where they are still unencrypted or immediately after decryption.

Whether this measure violates specific basic rights depends on the technical scope of the software used:

• Concurrent Communication Only: If the software only monitors ongoing communications (e.g., current WhatsApp messages), it constitutes an interference with the privacy of telecommunications ($Art.\,10\,I\,GG$). The IT Basic Right is not affected.
• Stored/Completed Communication: If the software also accesses stored or past communications, it interferes with the IT Basic Right ($Art.\,2\,I$ in conjunction with $Art.\,1\,I\,GG$). This triggers significantly stricter constitutional requirements.

Opinions vs. Factual Assertions

Distinguishing between types of speech is essential for applying $Art.\,5\,Abs.\,1\,GG$:

• Opinions (Werteurteile): These are subjective attitudes, evaluations, or statements of position. Protection is independent of whether the statement is rational, emotional, correct, or incorrect.
• Factual Assertions (Tatsachenbehauptungen or TSB): These are statements regarding occurrences or states in the past or present that are objectively verifiable and open to proof.

True factual assertions are protected if they are combined with an opinion or form the basis of one. However, deliberately or recognizably untrue factual assertions are generally not protected because they do not contribute to the formation of public opinion.

The Debate on Fake News and Anonymity

Regarding the extension of free speech protections to "Fake News," there are two sides:

• Pro-Protection: It is often difficult to determine truth or falsehood immediately. Excluding statements later found to be false would create a "Chilling Effect," where individuals self-censor out of fear of legal consequences, hindering the search for truth.
• Anti-Protection: Deliberately false statements do not serve opinion-building and generally do not override the general right of personality ($APR$).

Anonymity in the digital sphere is protected by freedom of expression to prevent state repression and intimidation (avoiding the chilling effect). However, anonymity can be a factor weighed when balancing against the rights of others.

Content Deletion on Social Media

Social media operators are permitted to delete posts that violate their internal house rules ($AGB$), even if those posts are not strictly illegal. This requires a factual reason for deletion, informing the user, providing an opportunity for the user to respond, and maintaining adequate procedural protection.

When a court reviews the legality of deleting offensive value judgments, it performs a balancing act between freedom of expression ($MF$) and the general right of personality ($APR$):

• Priority Rules: $APR$ prevails in cases of human dignity violations, sham criticism ($Schmähkritik$), or formal insults. True factual assertions are generally permissible, while unrecognized fake news usually results in the priority of the $APR$.
• Case-by-Case Analysis: If no priority rule applies, courts consider the previous behavior of the parties, anonymity/pseudonymity, reach of the statement, the public status of the person affected, and whether the affected person is a minor.

Digital Assembly Rights

The protection of digital gatherings under $Art.\,8\,Abs.\,1\,GG$ is debated:

• Arguments Against: A "gathering" traditionally requires physical presence ("without weapons") to provide the "argument of the body." Online meetings lack physical repression risks or physical danger potentials for third parties.
• Arguments For: Gathering does not strictly require physical presence. Digital assemblies serve the common formation and expression of opinion and are susceptible to state interference through surveillance or digital deterrence.
• Conclusion: Digital assemblies are protected if they are "functionally equivalent" to analog assemblies—meaning a simultaneous, interactive association of multiple people for common opinion formation.

Categories of Machine Learning

1. Supervised Learning: The system learns using training data with known outcomes. The goal is to learn the relationship between input and output.
   • Sub-forms: Classification (assigning to a class, e.g., spam detection) and Regression (predicting a numerical value, e.g., real estate trends).
   • Workflow: Data input → Model development → Model training → Model analysis → Publication (with potential modification cycles).
2. Unsupervised Learning: The output value is unknown. The system independently identifies patterns, structures, and relationships (e.g., Cluster Analysis).
   • Sub-forms: Binary classification (Yes/No options) and multi-classification (multiple non-exclusive answers). Common in customer recommendation systems.
3. Reinforcement Learning: Learning through trial and error without example data. The system receives rewards or punishments for actions to develop an optimal strategy.
   • Examples: Robotics, autonomous driving.

Deep Learning is a subset of machine learning that utilizes multi-layered neural networks. The "Deep" refers to the many sequential layers ($Layer$) that allow the system to recognize increasingly complex relationships within raw data.

Modern Technological AI Developments

• Foundation Models: Large AI models pre-trained for general tasks that can perform duties they weren't originally intended for (e.g., ChatGPT).
• Emergent Behavior: Systems developing capabilities not explicitly foreseen by developers.
• Generalized/Multimodal Abilities: AI not restricted to one task (handling text, images, speech, and motion simultaneously).
• Transformer Architecture: The technical foundation of many current language models.

AI in Public Administration and Legal Challenges

The use of AI in government administration must adhere to the principles of the rule of law and democracy:

• Democratic Legitimation ($Art.\,20\,III\,GG$): Administration must act within the framework of laws passed by the legislature. AI can implement legal requirements but cannot create its own decision-making standards or detach itself from legal norms. There is a "human reservation" for complex legal assessments or discretionary decisions.
• Transparency and Explainability: Sovereign decisions must be traceable, verifiable, and sufficiently justified. AI cannot be an unexplained "Black Box."
• Determinacy and Purpose Limitation: Legal bases for AI use must clearly define the occasion, purpose, and limits. Data collected for one purpose cannot generally be processed for another.
• Discrimination Risks: AI is not automatically neutral. Biases can emerge from programming or distorted training data. The state must implement safeguards (representative data, regular monitoring) to ensure the principle of equality is upheld.

Fully automated court decisions are currently considered unconstitutional under $Art.\,92$ and $Art.\,97\,GG$.