Ethical and Governance Aspects of Data Science

Estimated cost: 0 - R500
Field Of Study: Data Science and Computational Thinking
Department Name: Deputy Vice-Chancellor (Research Innovation and Postgraduate Studies)


* Ownership:
Whose data is it anyway? What sort of commodity is access? In this section, we will ask who owns the information we generate. We will also examine what ownership of data means in various contexts, and whether ownership necessarily implies the right to control or a right to benefit. * Identity:
Who decides who you are? What do we lose when we all agree? Individuals attach importance to their ability to decide for themselves who they are. While others have always had the ability to make judgements about who we are by summarising or aggregating our identities, both at the level of the individual and the group, this ability is magnified in the age of big data. In addition, data-fed feedback loops can reinforce, entrench, or nudge us towards particular views, preferences and behaviours, potentially leading to online echo-chambers and exacerbating political polarization. * Justice:
Can Google be racist? Is the web classist? In this section, we will investigate the possibility of algorithmic bias. We will also discuss ethical issues that are raised by inequalities in access to technology in the context of data science. * Consent:
Does consent still matter? How do you say yes when we don¿t understand? In this section, we will discuss the historical justifications that have been offered for the importance of consent, and in particular, the links between consent, privacy, and autonomy. We will determine whether these justifications are still relevant in the context of data science. We will also discuss the practical challenges involved in ensuring that consent is informed in the age of big data, and examine the ethical appropriateness of different models of consent for particular data contexts. Finally, we will discuss the risks attached to overly restrictive policies with regard to consent. * Privacy:
What are you giving up when you sell your data? Can you escape Google? The use of ¿free¿ services, for example, social networking platforms, often requires agreement to allow these platforms to access and use your data. In this section, we will discuss what users are sacrificing when they agree to these terms, if anything, and whether it is possible for us to opt out of using these services without serious inconvenience.

Entry Requirement: Professional 3-year Bachelor’s degree/Advanced Diploma or Equivalent Qualification
Certificate Type: Attendance
Delivery Mode: Contact
Duration: 3 days
Presentation Language: English
Contact Person Name: S Fortuin
Contact Person Email:
Latest Year Offered: 2020