Explore essential ethical considerations surrounding generative AI, including bias, misinformation, privacy, and societal impacts. This quiz helps learners identify the key challenges and responsibilities involved in deploying AI-generated content responsibly.
A generative AI model produces job application summaries that consistently favor one gender over another with similar qualifications. What is the main ethical concern in this scenario?
Explanation: Bias and unfair discrimination occur when AI systems unfairly favor or disadvantage certain groups, such as genders in this case. Technical malfunction is not the root cause here, as the model works as designed but is biased due to training data or design choices. Data compression errors refer to data storage issues, which do not impact decision fairness. Network latency is a connectivity issue and isn't related to the fairness of AI outputs.
If a generative AI is used to create realistic news articles that contain made-up information, what ethical risk does this present?
Explanation: Spreading misinformation is a key ethical risk because AI-generated content can be used to produce convincing but false narratives. Slower processing speeds are a technical issue, not an ethical one. Unauthorized patent sharing would involve intellectual property rather than truthfulness in content. Enhanced data accuracy is desirable but contradicts the scenario of generating false information.
When a generative AI creates content that closely mimics published works without acknowledgment, which ethical concern is most relevant?
Explanation: Plagiarism and copyright infringement are critical if AI generates content that copies or mimics existing works without giving credit. Hardware overheating concerns physical servers, not content generation. Financial auditing errors pertain to accounting, not AI-generated materials. Spam filtering relates to blocking unwanted emails, not misappropriation of intellectual property.
A chatbot powered by generative AI asks users for their personal address and stores this data. Which ethical issue is raised here?
Explanation: Violation of user privacy occurs when AI collects or stores personal data without adequate safeguards. Increased algorithm speed is unrelated to the collection of sensitive information. Less colorful output describes a visual property, not privacy. Battery consumption is a device issue, not an ethical concern about data handling.
Who holds responsibility if a generative AI unintentionally produces harmful or offensive content?
Explanation: Developers and users are responsible for monitoring and managing AI output to prevent harm, as they design, deploy, and interact with the system. Internet providers do not control AI content creation directly. Content viewers are recipients, not originators. Global weather agencies are unrelated to AI-generated content.
An AI generates videos of real people saying things they never said, making it hard to distinguish what is real. What ethical challenge is this?
Explanation: Deepfake deception refers to AI-generated media that can convincingly portray real people in fabricated situations, presenting ethical risks like fraud or reputational harm. Low image resolution is a quality issue, not an ethical one. Program installation failure pertains to software deployment, not media authenticity. Rapid file transfer is unrelated to content truthfulness.
Why is transparency about the data used to train generative AI important from an ethical perspective?
Explanation: Transparency allows users and stakeholders to evaluate the fairness, reliability, and potential biases in AI models. Increased system speed is unrelated to data transparency. Boosting advertising revenue is a commercial motive, not an ethical rationale. Transparency does not guarantee legal immunity, which depends on laws and regulations.
If a generative AI writes an entire school essay for a student, what ethical concern arises in this context?
Explanation: Academic dishonesty occurs when students submit work generated by AI as their own, undermining fair evaluation and learning. Battery optimization deals with energy use in devices. Weather forecasting is unrelated to student assignments. Nutritional imbalance concerns health, not educational practices.
What is a key ethical challenge when deploying generative AI in social media without clear safeguards?
Explanation: Without safeguards, generative AI on social media can easily create and amplify harmful content, such as hate speech or fake news. Instant messenger syncing, software upgrades, and ringtone selection are standard user or device features unrelated to ethical concerns about content spread.
Which ethical challenge is present if generative AI uses private messages or images to train itself without people knowing?
Explanation: Using personal data without permission for AI training violates the principle of informed consent, which is key for respecting privacy and autonomy. Image compression failure is a technical error not tied to user agreements. Download speed and lighting adjustment are unrelated to data rights or consent.