Summary: 

In IVF there is an intricate interaction between rapid scientific development and changing social values. Many believe that they are allowed to undergo ICF as they have ‘ownership’ of their gametes and embryo.Many concerns regarding the costs and effects, and safety of IVF have transcended into more complex questions about what it means to give birth to children. 

Opinions on IVF:

Positive: It helps to curb the issue of infertility and pregnancy complications. It also gives same-sex couples a chance to have to produce offspring that contain parts of their genes as opposed to adoption. 

Negative: It conflicts with the religious beliefs that a child should be produced by parents in a natural way, without the help of science. It also poses the issue of selective pregnancy such as choosing the gender of the child as the reproductive cells are artificially fertilized and chosen. There could also be the segregation of the socio-economic classes as the rich can afford such technology while the lower income still have to resort to the traditional method of reproduction.It leads to the destruction of embryos and can also end up being dangerous for the women undergoing this treatment. This can be seen as a beg taboo for those who are very pro-life. Moreover there are also beliefs in religions such as Christianity, that a child is a god-given gift. It should not be made in labs. IVF is also a very invasive procedure and dangerous one. Hence many do believe that this should not be carried out.  

Pros:
- Ensures protection / safety for the child / safety for students at large (especially useful in Covid-19 context- contact tracing)
- Accountability by the school/teachers
- Parents are more assured (child's safety and whereabouts)

Cons & Limitations:
- Lack of privacy
- Restrict freedom (constantly tracked)
- Data leak/ data security
- Are there any health risks?

Possible Controversial issues:
- Privacy vs Security 
- The issue of consent (students/parents/school) 

Importantly, when you think of data, you might think of formal studies in which demographics and representation are carefully considered, limitations are weighed, and then the results are peer-reviewed. That’s not necessarily the case with the AI-based systems that might be used to make a decision about you. Let’s take one source of data everyone has access to: the internet. One study found that, by teaching an artificial intelligence to crawl through the internet — and just reading what humans have already written — the system would produce prejudices against black people and women. Another example of how training data can produce sexism in an algorithm occurred a few years ago, when Amazon tried to use AI to build a résumé-screening tool. According to Reuters, the company’s hope was that technology could make the process of sorting through job applications more efficient. It built a screening algorithm using résumés the company had collected for a decade, but those résumés tended to come from men. That meant the system, in the end, learned to discriminate against women. It also ended up factoring in proxies for gender, like whether an applicant went to a women’s college. (Amazon says the tool was never used and that it was nonfunctional for several reasons.)

*Food for thought: Given that it is known that there is bias in algorithms, why do we (instituitions, companies, governments etc.) still continue to use (and rely on) them?

 Just because a technology is accurate doesn’t make it fair or ethical. For instance, the Chinese government has used artificial intelligence to track and racially profile its largely Muslim Uighur minority, about 1 million of whom are believed to be living in internment camps.

Relevant controversial issues:


Also consider Intersectionality  (intersecting and overlapping social identities- which could prove to be empowering for some, yet oppressing for others)