Study on Public Sentiment Analysis of AI: Exploring Social Acceptance and Ethical Dilemmas of Artificial Intelligence

Original Author: Romaisa Zahid Source Platform: GitHub Release Time: May 23, 2026 Core of the Study: Analyze public's complex emotions about AI through an 18-question multi-dimensional questionnaire, reveal the contradictory psychology where optimism and concern coexist, and explore the social acceptance and ethical dilemmas of artificial intelligence. Research Purpose: Quantify public attitudes towards AI and answer the core question: "Is AI an ally that empowers humans or a threat that needs vigilance?"

Artificial intelligence technology is rapidly permeating various areas of life (ChatGPT, autonomous driving, medical diagnosis, etc.), but society's attitudes towards AI are contradictory: while expecting convenience, people also worry about risks. Romaisa Zahid's study aims to systematically quantify this complex emotion and understand the public's acceptance level of AI and potential concerns.

Questionnaire Design

A mixed-type questionnaire with 18 questions: binary choice questions (for clear positions), scale questions (for attitude intensity), and open-ended questions (for deep-seated concerns).

Sample Composition

Covers cross-functional and intergenerational groups such as technical professionals, enterprise practitioners, educators, and students to ensure the representativeness of results.

Analysis Methods

Combines quantitative methods (raw response statistics, visual density maps, standard deviation analysis) and qualitative methods (outlier identification) to comprehensively analyze the data.

1. Daily Life and Convenience

AI is recognized for improving efficiency, but there are concerns that "cognitive outsourcing" leads to the degradation of manual abilities.

2. Employment and Labor Market

Unemployment anxiety is widespread; repetitive jobs are at higher risk, requiring rapid vocational retraining.

3. Data Privacy and Trust Threshold

The trust threshold is high; there are demands for data transparency and prevention of enterprises' abuse of personal information.

4. Modern Education Paradigm

Supporters believe AI can accelerate learning and provide personalized paths; those who are concerned worry about academic integrity issues and the lack of emotional connection.

5. Governance and Regulatory Policies

Strongly support the establishment of algorithm compliance frameworks, legislative guardrails, and ethical red lines.

Optimism Index

A decisive majority of participants view AI as a supportive auxiliary force, believing that AI enhances human creativity and frees up value-added work.

Friction Vectors

• Concerns about corporate data exploitation
• Demands for transparency in automated decision-making
• Risk of human emotional alienation These constitute resistance points for AI's social integration.

1. Attitude Complexity: Public attitudes are not simply support/oppose; differentiated policies are needed.
2. Trust Building: Transparent governance and user control are key to popularization.
3. Educational Communication: Strengthen AI literacy education and clarify technical boundaries.
4. Inclusive Development: Reduce transition costs and protect vulnerable groups.

AI is both an empowering ally and a challenge that needs careful management. The key lies in balancing technical potential and governance frameworks to protect human values—this is not only a technical issue but also a fundamental issue of social choice.