WorksheetsDigital Ethics and AI Awareness
Total questions: 20
Worksheet time: 10mins
What is the main goal of AI ethics?
To eliminate all forms of AI technology.
To ensure the ethical development and use of AI systems.
To ensure AI systems are developed without any regulations.
To promote the use of AI in military applications.
Name one principle of AI ethics.
Fairness
Efficiency
Transparency
Accountability
Why is data privacy important in AI?
Data privacy is only necessary for financial data.
Data privacy only affects large corporations, not individuals.
Data privacy is important in AI to protect personal information and maintain trust.
Data privacy is irrelevant in AI development.
What can happen if personal data is misused in AI?
Improved algorithm efficiency
Misuse of personal data in AI can lead to privacy violations, identity theft, discrimination, and loss of trust.
Enhanced user experience
Increased data storage capacity
How can bias affect AI algorithms?
Bias ensures equal treatment in AI algorithms.
Bias can lead to unfair, inaccurate, or discriminatory results in AI algorithms.
Bias has no impact on AI algorithms.
Bias improves the accuracy of AI algorithms.
Give an example of bias in AI.
AI systems improving healthcare outcomes.
Recommendation algorithms enhancing user experience.
Facial recognition systems showing racial bias.
Chatbots providing accurate information.
What is a digital footprint?
A digital footprint is the record of your online activities and interactions.
A digital footprint is the amount of data stored on a hard drive.
A digital footprint refers to the physical traces left by devices.
A digital footprint is a type of online security measure.
Why should we be aware of our digital footprint?
We should be aware of our digital footprint to protect our privacy and manage our online reputation.
To avoid using social media altogether.
To ensure we have a faster internet connection.
To increase our online visibility and attract more followers.
How can we reduce our digital footprint?
Use the same password for all accounts.
Ignore privacy settings completely.
Share more personal information on social media.
Limit personal information shared online and use privacy settings.
What role does cybersecurity play in AI?
Cybersecurity is irrelevant to AI and focuses solely on network safety.
Cybersecurity limits AI capabilities by restricting data access.
Cybersecurity enhances AI performance by increasing processing speed.
Cybersecurity protects AI systems from threats, ensuring data integrity and preventing adversarial attacks.
What is one common cybersecurity threat to AI systems?
DDoS attacks
Adversarial attacks
Phishing attacks
Malware infections
How can we protect AI systems from cyber attacks?
Rely solely on user passwords for security
Disable all software updates to prevent vulnerabilities
Use outdated encryption methods for data protection
Implement robust security measures, including software updates, intrusion detection, encryption, access controls, and continuous monitoring.
What does responsible AI usage mean?
Using AI to replace human jobs without consideration
Creating AI systems that prioritize profit over user safety
Responsible AI usage means deploying AI technologies ethically and accountably, ensuring fairness, transparency, and respect for user rights.
Deploying AI without any regulations or oversight
Why is it important to use AI responsibly?
To increase profits without regard for consequences.
To create a competitive advantage at any cost.
It is important to use AI responsibly to ensure ethical standards, prevent harm, and promote trust.
To replace human decision-making entirely.
What is the impact of AI on society?
AI has no effect on society whatsoever.
AI is solely responsible for job losses in all sectors.
AI only benefits large corporations and not individuals.
AI significantly transforms various aspects of society, including economy, ethics, and daily life.
How can we ensure fairness in AI systems?
Use only synthetic data for training
Ignore user feedback on AI decisions
Limit AI access to diverse populations
Implement diverse training data and conduct bias audits.
What is the significance of transparency in AI?
Transparency in AI is only important for data privacy.
Transparency in AI is significant for building trust, ensuring accountability, and facilitating understanding of AI decision-making processes.
Transparency in AI is primarily about reducing costs.
Transparency in AI has no impact on user experience.
How can individuals contribute to ethical AI practices?
By avoiding discussions about AI policies
By ignoring AI ethics altogether
By educating themselves, advocating for transparency, participating in policy discussions, promoting diversity, and holding organizations accountable.
By promoting a single perspective on AI
What are the consequences of unethical AI usage?
Consequences of unethical AI usage include biased outcomes, privacy violations, job loss, and diminished public trust.
Improved job opportunities
Enhanced data security
Increased efficiency in decision-making
How can education help in understanding AI ethics?
Education helps in understanding AI ethics by fostering knowledge, critical thinking, and discussions on ethical implications.
Education only focuses on technical skills, ignoring ethics.
AI ethics is solely determined by technology, not education.
Education has no impact on AI ethics.
