Modern societies manage an ever increasing amount of data. By mining
these data-sets, it is possible to gain understanding of problems. Through a
process of informed consent companies have been able to sequence the genome
of large populations. Providing insight to the consumer about their family
lineage and possible future risks that they could face. As a consequence of
providing such services to consumers, companies are in the position where
they can monetize a database of information hat they possess. The primary
issue that will be addressed is how private genetic data should be handled
correctly. As without clear ethical guidance corporations will (un)willingly
abuse trust. The result of aiming to maximize asset value can be unethical
conduct such as selling the data to third party insurance companies. The
apparent need to process larger quantities of data in order to acquire new
information to fill our knowledge gaps is a trade off between privacy and
anonymity of the individuals within society. Creating an ethical conundrum
for companies trying to profit. This research makes a contribution to prove
that certain actions when sequencing or using genetic information infringe
on privacy and are not morally permissible. Providing greater clarity when
trying to decide whether a use case of personal data is ethically permissible.
By reviewing modern literature that describes the ethical implications of
informed consent and human genome sequencing the research will identify
key areas requiring further work to develop the ethics of technology in a way
that enables innovation whilst keeping society safe.

The most crucial choices a student will make is about which college and major they decide to join. Accord- ing to a statistical analysis performed by Koenig (2018) in the U.S. News World Report, majors such as Computer and information science, Engineering and Engineering technology yield the highest employment rates and salaries compared to other majors. In an article they wrote about the factors that influence youths career choices, Akosah-Twumasi (2018) argued that the knowledge of issues related to ’job security’ and ’salaries’ may pressure youth to choose a career path based on the benefits associated with a particular profession. This causes an influence in the decision making of a student who will not necessarily apply for a major they would enjoy doing, but instead their choice is going to shift to a more reliable major. Thus, many students will apply for studies such as Computer Science even though it might not be well-suited for them. Our team has been asked by the Delft University of Technology’s communication department to develop a Chatbot in order to help students with their decision making, and specifically students interested in the master program Embedded Systems. The communication department gave our team a set of requirements that needed to be fulfilled. The final product needed to be a chatbot with which it is possible to have a conversation on the Embedded Systems study program. It should coach the student into making a decision as well as be able to answer frequently asked questions. The chatbot needed to be accompanied by a content management system which should allow the communication department to modify some of the content of the chatbot as well as provide them with useful statistics about the interactions with the chatbot. Our team was also required to use the Rasa (2019) open source machine learning tool for conversational artificial intelligence as back-end of our chatbot system in order to provide feedback about this framework which might be used in future projects at TU Delft.