AI and Happiness Theories Quiz

Using AI to improve people's happiness levels.

Understanding what happiness truly is, especially with evolving societal values.

Quantifying happiness, a complex and abstract concept.

The extensive personal information required to build AI for happiness.

Personal data control through regulations like the General Data Protection Regulation (GDPR).

Securing data safely for AI applications related to happiness optimization.

A trusted entity whose incentives align fully with user interests in data storage.

AI's ability to optimize human happiness is challenging due to definition, measurement, data, and storage issues.

The realization of one's full potential and capabilities.

Happiness derived from external factors like material wealth and pleasure.

Happiness derived from internal factors like purpose, meaning, and relationships.

A state of abundance and prosperity, often driven by technology enabling cheap production.

The tendency to adapt to increasing levels of material wealth, experiencing no lasting increase in happiness.

A future society where technological advancement has led to better living conditions and an evolution in happiness.

An example of a person transitioning from materialistic hedonism to a more meaningful eudaimonic path.

A method of individualized happiness tailored by AI based on individual needs, goals and desires.

Approximations of happiness based on hormone levels (serotonin, dopamine, oxytocin, endorphins, adrenaline).

Happiness isn't just hormones, but a complex interplay of electrical (brain waves), architectural (brain structures), and chemical (hormones).

Higher levels of happiness involve long-term goals of meaning and purpose, not just short-term gratification.

AI struggles to determine if a person's happiness is from current or prior actions.

A membrane with microneedles and electrochemical sensors that monitor hormone levels.

The AI assistant that gives recommendations for activities or choices to increase happiness.

Viktor leaves the island not because the experiment ended but because the AI predicted Viktor's desire to escape and return, leading to more happiness.

The stream of content shown to users on Facebook, designed to engage and keep them scrolling.

Understanding the long-term effects of content or experiences on a user's behavior and state of mind.

Collecting and combining vast amounts of data from various sources.

Worries about how personal data is being collected, stored, and used by companies.

GDPR aims to give individuals control over their personal data, empowering them to choose who accesses and uses it.

Government regulations and policies to address the growing power of tech companies and their data collection practices.

EU regulations that give individuals more control over their personal data, strengthening data protection.

GDPR's strict regulations, like data transparency and purpose limitation, can hinder AI development and limit its use of data.

Companies with exclusive control over a market, leading to potential unfair advantages.

The principle of collecting only the data absolutely necessary for a specific purpose, reducing the amount of personal information stored.

Companies are required to be open and clear with users about how their data will be used, ensuring informed consent.

Users must explicitly agree to a company's specific use of their data before it can be collected, providing explicit permission.

Protecting user data from unauthorized access, leaks, or theft, guaranteeing its security and confidentiality.

Users should be able to understand how AI decisions are made, ensuring transparency and accountability.

Users have the right to appeal AI decisions to human oversight when concerns arise, providing a safety net.

A large, unorganized collection of data from various sources, often difficult to analyze and manage.

An artificial intelligence system entrusted with managing and protecting personal data, acting as a trusted intermediary between users and apps.

A vast and unified data repository where all personal data is stored and managed by a trusted AI.

A proposed framework where users delegate data control to a trusted AI, allowing them to gain control over their data while benefiting from AI services.

A metaphorical concept representing a trusted AI that manages and protects personal data, leading to enhanced AI services and user happiness.