AI Ethics and Responsibilities Quiz

The ability to describe how an AI system makes decisions or reaches its outputs. It makes the system more transparent and helps build trust.

The obligation and responsibility of those who create and regulate AI systems to ensure they operate ethically, fairly, transparently, and in compliance with regulations.

Ensuring that an AI system behaves predictably, consistently, and accurately, especially when dealing with new or unseen data.

The ability to question and challenge the output and actions of an AI system. It promotes transparency and accountability.

Developing AI systems that minimize potential harm to individuals, groups, society, or the environment.

Making sure an AI system continues to work accurately and effectively in various situations, including new environments, unfamiliar data, and even potential attacks.

The extent to which information about the AI system is accessible, including its intended use, functioning, and decision-making processes.

The appropriate standards applied to ensure fair and consistent treatment of individuals and groups by an AI system.

AI systems developed according to ethical principles, ensuring they are used responsibly and for good.

A set of guiding principles for developing and using AI in a responsible way, focusing on promoting inclusive growth, protecting human rights, and ensuring AI systems are trustworthy.

The US government agency responsible for advising the President on science and technology policy.

Designing and implementing AI systems in a way that minimizes risks and ensures their safe and effective operation.

Protecting against algorithmic bias and ensuring fair treatment of individuals.

Protecting individuals' data privacy and ensuring responsible data collection and use.

Providing clear explanations of AI systems' decisions and operations to users.

AI systems should be designed and used with consideration for basic human rights, such as non-discrimination, equality, freedom, dignity, autonomy, privacy, data protection, diversity, fairness, social justice, and internationally recognized labor rights.

AI systems are expected to be transparent, making their functioning and decision-making understandable to the public. This involves disclosing information about their capabilities and limitations, data sources, and the logic behind their outputs.

This principle emphasizes the need for AI systems to be reliable and secure. This involves protecting them from vulnerabilities, ensuring they function predictably even under challenging conditions, and providing mechanisms for overriding or fixing malfunctioning systems.

AI actors, such as developers, companies, and users of AI systems, have a responsibility to ensure AI systems operate ethically and adhere to the guiding principles. Accountability involves being able to explain and justify the choices made regarding the design, development, and application of AI.

AI systems should operate within the bounds of intended use and not be misused for harmful purposes. It also involves mitigating risks arising from unintended consequences.

AI actors should implement mechanisms to ensure human oversight and intervention in AI systems. This includes having the ability to modify or stop AI systems when necessary and providing ways for humans to understand and control their interactions with AI.

AI systems should be designed to avoid amplifying misinformation or disinformation. This requires addressing the potential for AI to spread false or misleading information while upholding freedom of expression.

This principle recognizes the need to consider potential impacts of AI on social systems, including fairness, equality, and the potential for biases. It emphasizes addressing any unintended consequences on society's fabric due to the implementation of AI systems.

UNESCO stands for the United Nations Educational, Scientific, and Cultural Organization.

UNESCO aims to foster international collaboration in education, arts, sciences, and culture to achieve world peace.

UNESCO's values are based on promoting human rights, ensuring diversity and inclusiveness, and preserving the environment.

UNESCO operates on principles like proportionality, safety, fairness, sustainability, and privacy, ensuring responsible actions.

The Asilomar AI Principles are a set of guidelines for developing and using artificial intelligence ethically.

The Asilomar AI Principles are organized into three categories: safety and security, fairness and transparency, and responsibility and governance.

The Asilomar AI Principles are meant to be a guide for AI developers and stakeholders to ensure the technology is used responsibly for societal benefit.

The Asilomar AI Principles emphasize the importance of human oversight and control, ensuring that AI technology remains accountable and aligned with human values.

A conference held in 2017 at the Asilomar Conference Grounds in Pacific Grove, California, focused on developing ethical guidelines for artificial intelligence (AI).

A set of 23 principles developed at the Asilomar AI Conference, aiming to guide the responsible development and use of AI.

The Institute of Electrical and Electronics Engineers, the world's largest technical professional organization for the advancement of technology.

A global initiative launched by the IEEE to promote ethical considerations in the development and use of autonomous and intelligent systems.

The overarching aim of the IEEE Global Initiative on Ethics and Autonomous and Intelligent Systems is to ensure that autonomous and intelligent systems are developed and used ethically.

A design philosophy that prioritizes ethical considerations throughout the development and deployment of AI systems.

The Asilomar AI Principles are categorized into three main areas: Research, Ethics and Values, and Longer-term Issues.

The Asilomar AI Principles emphasize that AI systems should be designed to benefit all of humanity and avoid creating harm or exacerbating existing societal inequalities.

The EU's political executive body responsible for proposing legislation. It consists of 27 commissioners headed by a president.

A framework for developing and implementing AI systems in a responsible manner. It emphasizes human oversight, fairness, transparency, and accountability.

A collection of ethical principles that serve as a foundation for creating a culture of ethical AI within an organization.

Practical steps an organization undertakes to ensure ethical AI practices. These include developing specific principles, establishing oversight bodies, and implementing policies to mitigate risks.

Specific roles and responsibilities within an organization focused on different aspects of ethical AI, including legal compliance, equitable design, privacy, and cybersecurity.

The process of reviewing AI systems for potential legal issues and ensuring compliance with relevant laws and regulations.

Incorporating fairness and inclusivity in the design and development of AI systems, ensuring equal treatment for all individuals and groups.

Protecting sensitive information used in developing and training AI systems, ensuring data privacy regulations are followed and users have control over their data.

Managing data availability, usability, and integrity throughout its lifecycle within an organization. This includes ensuring data quality and integrity.

Potential negative impacts of AI on individuals, groups, and society, including civil rights violations, economic disadvantage, privacy breaches, and exacerbating social inequalities.

Individuals, groups, organizations, and ecosystems that may be at risk of being harmed by AI.

Potential harms to individuals from AI, including violations of civil rights, economic opportunities, and safety.

Potential harms to groups from AI, including discrimination, unfair treatment, and exacerbation of existing social inequalities.

Potential harms to society from AI, including erosion of democratic processes, loss of trust in institutions, misinformation, and safety risks.

Potential harms to companies and institutions from AI, including reputational damage, financial losses, legal issues, and acceleration risks.

Potential negative impacts of AI on ecosystems, including natural resource depletion and environmental degradation.