Pre-Finals Flashcards

(56 cards)

1
Q

Focuses on developing and using artificial intelligence in ways that complement human values and social responsibility.

A

AI Ethics

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2
Q

Reinforce inequalities and disadvantage based on gender, ethnicity, or socioeconomic status.

A

Bias and Discrimination

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3
Q

Collects and analyzes numerous personal data,

A

Privacy Violations

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4
Q

Generate misleading content, which may be used for political propaganda or deception

A

Misinformation and Fake News

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5
Q

Reduces employment opportunities in certain industries.

A

Job Displacement

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6
Q

Make decisions without clear explanations

A

Lack of Transparency

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7
Q

Shape public opinion, influences culture, and delivers information

A

Media

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8
Q

Involves honesty, fairness, and accountability across media, journalism, and social platforms.

A

Ethical Communication

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9
Q

Well-researched, free from distortion to prevent misinformation

A

Truth and Accuracy

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10
Q

Ex:
News agency verifies multiple sources before publishing a report to ensure the content is correct and not misleading.

A

Truth and Accuracy

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11
Q

Content should present multiple perspectives and avoid bias

A

Fairness and Impartiality

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12
Q

Example: Journalist interviews candidates from different political parties to give each an equal opportunity to present their views.

A

Fairness and Impartiality

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13
Q

Respects individuals’ privacy, especially in sensitive topics

A

Privacy and Respect

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14
Q

Example: Reporter covering a crime story withholds the victim’s personal details to protect their safety and dignity.

A

Privacy and Respect

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15
Q

Disclosing sources, affiliations, and conflicts of interest establishes trust.

A

Transparency and Honesty

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16
Q

Example: Social media influencer clearly states that a product review is paid sponsorship to ensure transparency

A

Transparency and Honesty

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17
Q

False or misleading information distorts reality, causes harm, and erodes public trust

A

Misinformation and Disinformation

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18
Q

Example: Fake reports of celebrity deaths circulate online without verification.

A

Misinformation and Disinformation

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19
Q

Favoritism in reporting misleads audiences and reinforces division.

A

Bias and Lack of Objectivity

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20
Q

Example: A news outlet consistently favors a political party, shaping public perception

A

Bias and Lack of Objectivity

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21
Q

Unauthorized data collection and misuse

A

Privacy Violations

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22
Q

Example: Social media apps track user locations and sell data to advertisers.

A

Privacy Violations

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23
Q

Exaggerated or misleading headlines sacrifice credibility for engagement.

A

Sensationalism and Clickbait

24
Q

Example: A headline like “Shocking Truth About COVID-19!” misleads readers for engagement.

A

Sensationalism and Clickbait

25
Framing stories or altering content to fit an agenda distorts the truth.
Manipulation and Misinterpretation
26
Example: A deepfake video falsely portrays a politician saying something controversial
Manipulation and Misinterpretation
27
Online platforms amplify harmful behavior, affecting individuals’ well-being.
Cyberbullying and Harassment
28
Example: A public figure receives threats and harassment for expressing an opinion.
Cyberbullying and Harassment
29
Using tragedies or sensitive content for views is unethical.
Exploiting Human Suffering
30
Example: A journalist invades a grieving family’s privacy for an exclusive interview.
Exploiting Human Suffering
31
Ethical concerns in biology, medicine, technology, and global health, genetic engineering, AI, environmental ethics.
Bioethics
32
Patient care, doctor-patient relationships, and clinical decisions. Rules and principles doctors follows
Medical Ethics
33
Modifying genes, designer babies, and cloning.
Genetic Engineering and Cloning
34
Example: Scientists utilize gene editing to cure a hereditary disease while ensuring ethical oversight and transparency
Genetic Engineering and Cloning
35
Using technology to enhance physical and cognitive abilities.
Biotechnology and Human Enhancement
36
Example: Athletes use gene therapy to enhance muscle growth, which raises concerns about fairness in sports.
Biotechnology and Human Enhancement
37
Responsibilities in genetic modification, biodiversity conservation, and sustainability.
Environmental Ethics
38
Example: Scientists develop drought-resistant crops to address food shortages while considering environmental impacts
Environmental Ethics
39
Balances scientific progress with the humane treatment of animals in research.
Animal Experimentation
40
Example: Researchers use alternative testing methods, such as lab-grown tissues, to reduce animal suffering.
Animal Experimentation
41
Concerns about AI’s role in decision-making and genetic analysis.
Artificial Intelligence in Biological Research
42
Example: AI predicts disease risks based on genetic data, raising concerns about data privacy and consent.
Artificial Intelligence and Biological Research
43
Ethical pledge that physicians make.
Hippocratic Oath
44
Right to make their own healthcare decisions. Informed choices about their bodies and treatments. Must respect patients decision.
Autonomy
45
Example: A 65-year-old patient refuses cancer surgery after understanding the risks. The doctor disagrees but respects the informed decision.
Autonomy
46
Acting in the best interest of the patient. Promote well-being and contribute to the patient's health and recovery..
Beneficence
47
Example: A doctor prescribes physical therapy for a stroke patient to improve mobility and quality of life.
Beneficence
48
“Do no harm”. Must not cause unnecessary harm or suffering.
Non-Maleficence
49
Example: A doctor avoids prescribing a strong painkiller with severe side effects for mild pain and opts for a safer alternative instead.
Non-Maleficence
50
Fairness in healthcare. Ensures all patients get equal treatment
Justice
51
Example: A hospital provides the same quality treatment to all patients, regardless of their ability to pay or social status.
Justice
52
Example: Some Philippine companies use AI-powered hiring tools that favor applicants from wealthier backgrounds due to biased training data, which can limit opportunities for public university graduates and rural job seekers
Bias and Discrimination
53
Example: Pasig City's Safe City Project employs CCTV and facial recognition to enhance safety, but it also sparks concerns over mass surveillance and data privacy.
Privacy Violations
54
Example: AI-generated deepfakes and fake news may have influenced Philippine elections and social media discussions.
Misinterpretation and Fake News
55
Example: AI-driven automation is transforming industries such as manufacturing and content creation, replacing human workers.
Job Displacement
56
Example: A student applying for a scholarship online may face rejection by an AI system without knowing whether it was due to missing information, a system error, or bias.
Lack of Transparency