European Law and AI Applications

Businesses must adopt AI in their models

False (B)

<p>The main goal of the AI Act is to achieve a balance between protecting fundamental rights and promoting innovation in the AI market.</p> Signup and view all the answers

<p>A combination of risk- and rights-based (C)</p> Signup and view all the answers

<p>The key principle identified by the HLEG is human dignity.</p> Signup and view all the answers

<p>Accountability (A)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>Prohibit them from being placed on the market (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>The three main clusters of the obligations laid out in the DMA are: compliance with the GDPR, playing nice with business &amp; end users, and interoperability.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>The primary goal of the DSA is to harmonize liability rules for online platforms, ensuring that they are held accountable for illegal content but also promoting a safe and trustworthy online environment.</p> Signup and view all the answers

<p>The DGA focuses on reducing the use of data by public authorities by promoting the reuse of data for altruistic purposes, while safeguarding privacy and confidentiality.</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>The two key principles underlying the EU approach to regulating AI are trust and excellence.</p> Signup and view all the answers

<p>To assess the risk of tax fraud (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>The three main types of harm the AI Act focuses on are harm to health and safety, harm to fundamental rights, and harm to the environment.</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>The main argument in the <em>Force v. Facebook, inc.</em> case is that Facebook, as a platform provider, functions as a speaker rather than a publisher, meaning they are not responsible for the content shared by their users.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>The right to privacy (B), Freedom of expression (C)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>The CAHAI recommends including risk identification, impact assessment, governance assessment, and mitigation and evaluation as key elements in a legal framework on AI.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Promoting AI innovation and preventing harm (B)</p> Signup and view all the answers

<p>The two main types of liability regimes proposed in the AI Liability Directive are strict liability for high-risk AI systems and fault-based liability for other AI systems.</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>The use of AI systems in sentencing decisions (C)</p> Signup and view all the answers

<p>True (A)</p> Signup and view all the answers

<p>The two main approaches to addressing AI-related harm in terms of liability are strict liability and fault-based liability.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>Thaler argued that if an AI system had created the invention, it should be considered an inventor because the purpose of patent law is to incentivize innovation.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>One of the key arguments is that AI systems are often considered as 'products' and that the product liability directive already applies to the use of products, making the application of strict liability more feasible.</p> Signup and view all the answers

<p>Prioritizing the provider’s own services over those of third parties, where they are competing in the same markets (C)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>The CJEU ruled that Facebook, along with the website operator, is a joint controller in the process of collecting and transmitting personal data to third-party services through ‘like’ buttons.</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

<p>A 'mere conduit' service is limited to transmitting data, while a 'hosting' service involves storing data. (B)</p> Signup and view all the answers

<p>False (B)</p> Signup and view all the answers

The process of using machines to perform tasks that were previously done by humans, often leading to increased efficiency and production.

Refers to a set of technologies that are used to collect, store, analyze, and interpret large amounts of data.

A type of artificial intelligence that uses algorithms to analyze data and make predictions, such as suggesting products on an online store or identifying potential risks in finance.

The process of replacing physical labor with machines, often leading to increased productivity and output.

The use of AI to augment or enhance human capabilities rather than replacing them. It aims to support human decision-making and tasks by providing insights and recommendations.

A set of ethical guidelines for the development and use of artificial intelligence, focusing on protecting human autonomy, preventing harm, ensuring fairness, and promoting explainability.

Processing data that pertains to an identified or identifiable individual, with a focus on protecting their privacy and ensuring lawful use.

The right of individuals to access, rectify, erase, or restrict the processing of their personal data.

A set of laws designed to regulate the use of personal data, including principles of lawfulness, fairness, transparency, proportionality, and accountability.

The ability of AI to learn and adapt its behavior based on its experiences and interactions with its environment.

The process of training an AI model by feeding it with a large amount of data to help it learn patterns and associations.

A term used to describe the inability to readily understand the decision-making processes of complex AI models.

A concept that refers to the ability of AI to perform tasks that require complex reasoning, problem-solving, and decision-making skills, similar to human intelligence.

The potential for AI to surpass human intelligence and capabilities in all domains.

A system of placing phantom orders in the financial markets with the intent to manipulate prices and profit from the resulting confusion.

A type of AI that is developed with the specific goal of automating simple, repetitive tasks, freeing up human time and energy for more complex activities.

A broad set of technologies that leverage big data, cloud computing, and data science to automate tasks and facilitate decision-making.

A potential risk of AI models where they become too sensitive to the specific training data, leading to poor performance on unseen data.

A potential risk of AI models where they fail to capture the complexity of the data and make inaccurate predictions, resulting in poor performance even on training data.

A type of AI regulation that emphasizes a set of rules and standards to govern the development and use of AI systems, aiming to ensure ethical and responsible practices.

A regulatory approach that focuses on preventing potential risks and minimizing harm to human rights by requiring developers and users to assess and mitigate the risks associated with AI systems.

A regulatory approach that focuses on protecting fundamental human rights and values, ensuring that AI systems do not infringe on human dignity, autonomy, or fairness.

The process of evaluating the potential risks of data processing on individuals' rights and freedoms, as required by the GDPR.

A type of AI model that relies on a series of interconnected nodes organized in layers, allowing them to learn complex patterns from data.

A type of AI regulation that emphasizes the involvement of humans in the development, deployment, and oversight of AI systems, ensuring that human control and accountability remain central.

A key principle emphasized by the GDPR, aiming to ensure that only necessary personal data are processed and stored for the specified purpose.

A type of AI system that relies on a set of rules or conditions to make decisions, often used in simpler models where the reasoning process is transparent.

A type of AI system that operates with reduced or limited supervision from humans, making decisions and taking actions with a degree of autonomy.

A type of AI system that uses probability and statistical methods to make decisions, often used in situations where information is incomplete or uncertain.

A type of AI model that uses multiple decision trees to enhance its accuracy and robustness, often used in complex prediction and classification tasks.

A type of AI regulation that focuses on specific industries or sectors, tailoring regulations to the specific risks and challenges presented by AI in those domains.

The idea that AI should be explainable, transparent, and understandable by humans, allowing for better trust and accountability.

A period of significant technological advancements characterized by automation, connectivity, and customization, with a focus on leveraging data and AI to improve efficiency and production.

The ability of AI to process and interpret information from its surroundings, such as visual images or text.

A set of laws designed to regulate the collection, processing, and use of personal data, emphasizing principles of lawfulness, fairness, transparency, proportionality, and accountability.

A high-level expert group on AI ethics, focusing on principles like human dignity, autonomy, and fairness.