AI Regulation and Domain Name Systems

A two-letter combination using characters from the set of 26 letters, 10 numerals, and the dash symbol.

A three-letter combination using characters from the set of 26 letters, 10 numerals, and the dash symbol.

A four-letter combination using characters from the set of 26 letters, 10 numerals, and the dash symbol.

A top-level domain (TLD) that is open to use by anyone, like .com, .net, or .org.

A top-level domain (TLD) that is reserved only for specific sectors, like .edu for education or .gov for government.

A top-level domain (TLD) representing a specific country, like .it for Italy or .fr for France.

A hierarchical system that translates human-readable domain names into numerical addresses.

A distributed database holding information over which domain names map onto which IP numbers.

A type of crowdfunding where contributors gain ownership in the business by purchasing equity.

A type of crowdfunding where contributors provide loans to a project in return for interest payments.

A type of crowdfunding where contributors receive non-financial rewards, such as products or services, in exchange for their support.

A type of crowdfunding where contributors donate money to a charitable project without expecting any material returns.

Regulation (EU) 2020/1503, which sets the legal framework for crowdfunding in the EU ensuring transparency, investor protection, and risk management.

Crowdfunding service providers (CSPs) are businesses that facilitate crowdfunding campaigns. They are required to be authorized, avoid conflicts of interest, and maintain proper records.

The General Data Protection Regulation (GDPR) is a comprehensive data protection law that applies to personal data processing in the EU. Crowdfunding platforms must comply with GDPR requirements.

Unique digital assets certified by blockchain technology, proving ownership of a digital item. NFTs can represent art, music, collectibles, and other forms of digital content.

The process of making sure AI systems are transparent, fair, and accountable, often involving measures to identify and mitigate biases.

A legal framework created by the EU to classify AI systems based on their risk level, with stricter rules for high-risk systems.

The US approach to AI regulation focuses on promoting research, ethical practices, and protecting citizens from algorithmic harms.

A key concern in AI ethics, involving biased data that can perpetuate social inequalities.

The use of AI tools in legal workflows, which raises questions about accountability and potential risks.

The potential for AI to violate privacy laws due to unauthorized use of personal data, such as in social media.

The legal challenge of AI systems using copyrighted materials without permission to learn and generate new content.

The ongoing global effort to balance AI innovation with ethical and legal safeguards to ensure technology serves the greater good.

A network of physical devices connected to the internet, capable of collecting, sharing, and analyzing data without human intervention.

Devices such as smart home appliances, wearable fitness trackers, industrial machines, and vehicles; these devices are connected to the internet and can collect, share, and analyze data.

IoT devices interact with their environments, transmitting data to gateways and clouds for analysis and user interaction.

Weak authentication, shared network access, and limited device management create opportunities for cybercriminals to access sensitive data.

Multi-layered security approaches, including biometric verification, VPNs, device management platforms, and regular updates, are used to mitigate risks.

The General Data Protection Regulation (EU GDPR) governs the collection and processing of personal data, emphasizing user consent and rights like data deletion.

The EU Cybersecurity Act and the IoT Cybersecurity Improvement Act enforce minimum security standards and promote fair competition within the IoT sector.

A regulatory framework in the European Union governing the handling of personal data. It mandates robust technical and organizational security measures to prevent unauthorized access or data misuse.

A service model where cloud providers offer access to virtualized computing resources, such as servers, storage, and networking.

A service model where cloud providers provide a platform for developing and deploying applications, including infrastructure, operating systems, and development tools.

A service model where cloud providers provide ready-to-use applications accessible over the internet.

A legal concept related to ownership and control over intellectual creations, including software and algorithms, particularly relevant in the context of cloud computing.

A standard defining a framework for information security management systems to help organizations manage and mitigate information security risks.

Legal agreements governing the use of cloud services, often including provisions related to liability, dispute resolution, data ownership, and compliance with regulations.

Ethical considerations in cloud computing, focusing on data privacy and transparency, particularly regarding government access to user data.

A European Union regulation aimed at governing the cryptocurrency market. It seeks to harmonize regulations across member states, enhance financial stability, and protect consumers from risks associated with digital assets.

The act of ensuring that rules and regulations for financial markets are consistent across different jurisdictions. It promotes a unified approach to governing financial activities within a larger region or organization.

Digital currencies pegged to a stable asset, often a fiat currency like the US dollar, designed to minimize volatility. Their value is meant to be less volatile than other cryptocurrencies.

An organization that sets international standards to combat money laundering and terrorist financing. They provide guidelines for identifying suspicious financial activity and requiring financial institutions to take measures to prevent it.

The process of verifying the identity of a user, often required for opening financial accounts or conducting high-value transactions. It can involve providing documents like IDs, proof of address, or other verification mechanisms.

Measures taken to monitor transactions and identify suspicious activity that may be related to money laundering or other financial crimes. This can involve analyzing transaction patterns, identifying high-risk accounts, and reporting suspicious activity to authorities.

Measures taken to ensure that financial institutions comply with anti-money laundering (AML) laws and regulations. This often involves internal controls, risk assessments, and ongoing monitoring of transactions and customer activities.

The global adoption of regulations that aim to ensure the security, transparency, and responsible use of cryptocurrencies.