MOR MOD 2 Flashcards
refers to the moral principles and professional conduct
that guide engineers in the design, development, implementation, and use of technology.
Ethics in CpE
Ensuring that the collection, storage, and use of personal data are done
in a responsible manner.
Privacy and Data Protection
Protecting systems from unauthorized access, data breaches, and
malicious attacks.
Security
Engineers must be accountable for their creations and ensure
transparency in how algorithms and systems function.
Accountability and Transparency
Engineers should consider the broader impact of their work on society,
particularly concerning safety, public health, and accessibility.
Social Impact and Public Safety
Respecting the intellectual property rights of others while contributing new
ideas and innovations.
Intellectual Property and Copyright
Ensuring that systems and algorithms are free from biases and do not
discriminate against individuals or groups.
Non-Discrimination and Fairness
Minimizing the environmental impact of technology by considering energy
consumption, e-waste, and sustainability in design.
Environmental Responsibility
Ethical concerns around the deployment of AI and automation include job
displacement, fairness, and accountability.
Artificial Intelligence and Automation
The rise of big data has raised concerns about the privacy of individuals
and the potential misuse of personal information.
Big Data and Privacy
Ethical dilemmas arise when engineers must defend systems against
cyber threats while balancing the need for privacy and freedom of
information.
Cybersecurity and Hacking
Developers must consider how to protect their intellectual property while
respecting the intellectual property rights of others.
Intellectual Property and Software Piracy
When autonomous systems such as self-driving cars or drones make
decisions, who will be responsible for any harm caused?
Autonomous Systems and Accountability
Engineers must be mindful of the digital divide—the gap between those
with access to technology and those without.
Digital Divide and Access to Technology
Many companies collect personal data without explicit user consent, often
embedding tracking technologies in websites, apps, and smart devices.
Unauthorized Data Collection
Storing massive amounts of user data makes organizations a target for
hackers, leading to breaches that expose sensitive information.
Data Breaches and Cybersecurity Risks
Governments use mass data collection for national security, but this can
lead to privacy violations and surveillance abuses.
Surveillance and Government Oversight
Companies often sell or share user data with third parties for marketing
and analytics without clear disclosure.
Third-Party Data Sharing
Data collected and used in AI models can reinforce biases, leading to
discriminatory outcomes.
Algorithmic Bias and Discrimination
Many users are unaware of what data is being collected, how it is stored,
and how it is used.
Lack of Transparency and Control
