根据下面资料，回答1-20题
Many look to AI-powered tools to address the need to scale high-quality education and with good reason. A 1 in educational content from online courses and the contemporary renaissance in AI seem to provide the conditions 2 to deliver personalized learning at scale. However, technology has a poor track record for 3 social issues without creating unintended harm. What negative effects can we 4 , and how can we refine the objectives of AI researchers to account for such unintended consequences?
For decades the holy grail of AI for education has been the creation of an autonomous tutor：an algorithm that can monitor students' progress, 5 what they know and what motivates them, and provide an optimal, 6 learning experience. With 7 to an autonomous tutor, students can learn from home, anywhere in the world. 8 , autonomous tutors of 2020 look quite different from this ideal. Education with auto-tutors usually 9 students with problems designed to be easy for the algorithm to interpret—as 10 to joyful for the learner.
Current algorithms can't read motivation, and are far from engendering 11 learning gains, instead focusing on engaging students for the short term. The technical challenges are 12 : building the ideal auto-tutor could be as 13 as reaching true general AI. The research community has seen this as a challenge：we simply need to 14 our technical shortcomings to achieve the utopian dream.
15 is the auto-tutor utopia a dream worth building toward? We offer some dangers that 16 use of artificially intelligent systems such as auto-tutors and call for research into 17 that harness the potential good from application of AI in education, 18 mitigating the risks. We believe our 19 of thoughtfully developed AI systems working in tandem with naturally intelligent humans can 20 a broad community of learners around the world.
第（12）题选_______

A muted

B enormous

C limited

D unaltered