Analysing Personal Information (OCR A Level Computer Science)

Personal Information Ethics

How is Personal Information Analysed Using Computers?

• Computers play a critical role in analysing personal information, particularly in areas such as healthcare, where medical records are involved

• The process involves data gathering, storage, and analysis, where various technologies and techniques are implemented

Data mining

• This involves extracting patterns from large data sets

• In the healthcare context, it can help in predicting disease trends and identifying at-risk demographics

Machine learning

• Machine learning algorithms can predict patient outcomes, assess risks, and personalize patient treatment plans based on past data

Artificial intelligence

• AI is used to process large amounts of data and make predictions or recommendations

• E.g. AI can analyse medical images to detect diseases or anomalies

Impact of Analysing Personal Information

• As computers become increasingly pivotal in managing and analysing personal information, such as medical records, there arise consequential moral, social, ethical, and cultural implications

• These implications call for careful consideration and the establishment of comprehensive frameworks and guidelines to safeguard individuals' rights and privacy

Moral implications

Consent & autonomy

• From a moral standpoint, obtaining informed consent from individuals before gathering, storing, and analysing their personal information is crucial

• Consent respects the autonomy of individuals to control information about themselves

Equity

• There is a moral obligation to ensure that the benefits derived from analysing personal information, such as improved healthcare outcomes, are distributed equitably and do not disproportionately favour specific groups

Social implications

Privacy

• Personal information, particularly health data, is sensitive

• The use of computers to manage this data increases the risk of privacy breaches with significant social implications

Digital divide

• The digital divide refers to the disparity between individuals who have access to technology and those who do not

• The use of computers in managing health data may inadvertently exclude those who lack access to digital technology, leading to social inequity

Ethical implications

Data security

• Given the sensitive nature of personal information, there is an ethical obligation to protect this data from breaches, theft, or misuse

Transparency & accountability

• Organisations must be transparent about how personal information is used and be held accountable for any misuse of the data

• This necessitates robust auditing mechanisms

Cultural implications

Cultural sensitivity

• The use of personal information should respect cultural norms and practices

• E.g. some cultures have specific beliefs about health and privacy that must be respected when gathering and analysing their health data

Representation

• There is a risk that certain cultural groups may be underrepresented in data sets, leading to biased outcomes

• Efforts must be made to ensure fair representation of all cultural groups in the data-gathering process