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Ethical issues regarding how user data is collected, stored, and used. Example: A health app sharing sensitive data without explicit consent.

Ensuring equitable use of technology for people with disabilities. Example: Lack of audio descriptions in a video app for visually impaired users.

The right of users to have control over their digital environment. Example: A website redesigning its layout to manipulate user behavior.

Obtaining permission from users after disclosing full implications of their participation. Example: A messaging app updating its terms of service without clear communication.

The risk of encoding prejudices in algorithmic decision-making. Example: A job-matching AI displaying preference for a certain gender.

The gap between those who have ready access to computers and the internet, and those who do not. Example: Implementing online-only government services.

Stress or psychological impact caused by digital technologies. Example: Constant notifications leading to burnout.

Designing technology that deliberately keeps users engaged in an addictive manner. Example: Social media platforms using infinite scrolling.

The ethical implications of monitoring employees' activities using digital technologies. Example: Using keyloggers to track employees' typing.

The responsibility to create technology that does not harm the environment. Example: Building a data center without considering energy efficiency.

Technology designed to evoke specific emotions to achieve desired outcomes. Example: Games using dark patterns to encourage in-app purchases.

Incorporating a diverse range of perspectives and needs in design processes. Example: An app that does not cater to elderly users.

Ethical practices in sharing user data with third parties. Example: A navigation app selling location data without clear user consent.

The need for clarity in how AI systems make decisions. Example: A credit scoring AI that doesn't explain its decision to the user.