Ethics in Data Science Notes – Class 10 Data Science (419)

CBSE aligned Ethics in data science notes is made for class 10 DS which explains Data Governance Framework, Ethical Guidelines, and Discarding Data.

Note about Data Governance Framework

• A Data Governance Framework helps manage data in a systematic way.
• It defines the methods, responsibilities, and processes for handling data.
• It ensures that data is standardized, integrated, protected, and stored properly.
• Data analysis must follow ethical guidelines.
• Ethical issues arise when data is used for purposes other than its original purpose.
• Selling or using collected data for external benefits may raise ethical concerns.
• Following ethical practices helps ensure the responsible use of data.

Ethical Guidelines Around Data Analysis

Protect Customer Privacy

• Customer data should always be handled with confidentiality.
• Personal data collected with consent should not be shared with others without permission.
• Third-party companies must protect sensitive data, such as financial, medical, and location information.
• Customers should know how their data is being used or shared.
• Customers should have control over their personal information.

Data Should Never Interfere with Human Will

• Data analytics should not influence or control people’s decisions unfairly.
• Organizations should carefully decide which predictions and conclusions are ethically acceptable.
• Human decisions should always remain independent and fair.

Avoid Unfair Bias

• Data should never promote unfair biases such as sexism or racism.
• Analytical systems may learn hidden biases from training data.
• Organizations should ensure that data analysis remains fair and unbiased.

Discarding the Data

• Confidential user data should be discarded securely after it is no longer needed.
• Proper disposal helps prevent unauthorized access and misuse of data.
• Data may be stored in:
  • Digital format
  • Physical copies
• Digital data is more vulnerable to cyber-attacks.
• Digital data should be removed properly to prevent unauthorized access.
• Unnecessary user data should be deleted from the device after use.
• Data can be encrypted while storing to protect it from hackers in case of a data leak.
• The computer drive or hard disk containing confidential data can be formatted for secure deletion.
• A soft delete only moves files to a temporary location, from where they can be restored.
• Confidential files should be permanently deleted so they cannot be recovered.
• Confidential information may also exist as physical copies, which should also be discarded safely.

Shredding the Documents

• Shredding is an effective method of discarding documents containing confidential data.
• A paper shredder can be used to destroy confidential documents.
• Sensitive information should become completely unreadable after shredding.
• Shredded documents should not be reconstructable.
• If a shredder is not available, documents should be cut into very small pieces.
• Ensure that no confidential information can be read from the cut pieces.
• Documents should be cut in a way that prevents reconstruction.
• Data is considered securely discarded only when the information is completely unreadable and cannot be recovered.

Burning the Documents

• Burning documents is an effective method of discarding confidential information.
• Burnt documents cannot be reconstructed or read again.
• This method helps ensure the complete destruction of sensitive data.
• Burning documents is not always practical.
• It is useful when other methods of secure disposal are not available.