The topic of ethical AI implementation has become increasingly prevalent in IELTS Writing Task 2, appearing roughly 15-20% more frequently in recent years. This trend reflects growing global concerns about AI governance and responsible technology development.
Ethical AI implementation in modern workplace environment
Analysis of Common Question Types
Recent IELTS exams have featured various questions about AI ethics. One particularly representative question is:
Some people believe that artificial intelligence (AI) should be strictly regulated to protect society, while others argue that excessive regulation will limit technological progress. Discuss both views and give your own opinion.
Sample Essay 1 (Band 8.0)
The debate over AI regulation reflects a crucial balance between societal protection and technological advancement. While both perspectives have merit, I believe that well-designed regulation is essential for sustainable AI development.
Proponents of strict regulation argue that uncontrolled AI development poses significant risks. Advanced AI systems could potentially make critical decisions affecting human lives, from healthcare diagnoses to autonomous vehicle operations, making oversight crucial for public safety. Moreover, concerns about data privacy, algorithmic bias, and potential job displacement necessitate careful governmental oversight to protect vulnerable populations.
However, those opposing heavy regulation contend that excessive restrictions could stifle innovation. They emphasize that rapid technological progress requires flexibility and freedom for researchers and developers to explore new possibilities. Countries with overly restrictive regulations might fall behind in the global AI race, potentially losing economic and technological advantages.
In my view, the solution lies in implementing balanced, adaptive regulations. Rather than imposing rigid rules, governments should establish framework principles that evolve with technological advancement. This approach could include mandatory ethics reviews for high-risk AI applications, transparency requirements for AI decision-making processes, and regular impact assessments while maintaining space for innovation.
Therefore, while regulation is necessary, it should be carefully crafted to protect society without hampering technological progress. This balanced approach will ensure both responsible development and continued innovation in AI technology.
Sample Essay 2 (Band 6.5)
Nowadays, there is a big discussion about how much we should control AI technology. Some people want strict rules, but others think this will stop progress. I will discuss both sides and share my opinion.
People who want strong rules for AI have good reasons. First, AI can be dangerous if we don’t control it properly. For example, if AI makes mistakes in hospitals or self-driving cars, people could get hurt. Also, AI might take away jobs from many people, which is a big problem.
On the other hand, too many rules could be bad for technology development. Companies need freedom to create new things. If there are too many rules, maybe other countries will develop better AI than us. This could hurt our economy and make us fall behind.
I think we need some rules but not too many. The government should make basic rules to keep people safe, but also let companies develop new technology. This way, we can have both safety and progress.
In conclusion, finding the right balance in AI regulation is important. We need some control to protect people, but we shouldn’t stop progress with too many rules.
Scoring Analysis
Band 8.0 Essay
- Coherent argument development
- Sophisticated vocabulary and complex structures
- Clear position with nuanced support
- Excellent paragraph organization
- Advanced cohesive devices
Band 6.5 Essay
- Basic argument structure
- Simple but clear language
- Some development of ideas
- Basic organization
- Limited use of complex structures
Key Vocabulary
- algorithmic bias (n) /ˌælɡəˈrɪðmɪk ˈbaɪəs/ – systematic errors in computer systems
- autonomous (adj) /ɔːˈtɒnəməs/ – self-governing
- oversight (n) /ˈəʊvəsaɪt/ – supervision
- stifle (v) /ˈstaɪfəl/ – suppress or restrain
- implementation (n) /ˌɪmplɪmenˈteɪʃən/ – execution or realization
- framework (n) /ˈfreɪmwɜːk/ – basic structure
- compliance (n) /kəmˈplaɪəns/ – conformity to rules
- governance (n) /ˈɡʌvənəns/ – method of management
Practice Suggestions
Consider practicing with these related topics:
- AI’s impact on employment
- Ethical considerations in machine learning
- International cooperation in AI governance
Share your practice essays in the comments for feedback and discussion.
