The document discusses several issues relating to the future of information ethics, including privacy, surveillance, algorithmic bias, intellectual property, globalization, and augmentation. Specifically, it addresses the need for individuals to have control over their personal data and consent to its use (privacy), the debate around balancing privacy rights with security interests behind surveillance practices, how algorithms can perpetuate inequality if not designed carefully, balancing copyright with open-source licensing, challenges of cross-border data flows, and both current and future ethical challenges relating to new technologies.

1. The Future
of Information
Ethics
John Blake
AI art - John Blake

2. Privacy
Data ownership
Individuals should have
control over their personal
data and how it is used
Government surveillance
Collection methods could
infringe upon individual
freedoms and rights
Privacy is a fundamental right that must be respected in the
digital age through proper data governance and consent.
Surveillance capitalism
Commodification of user
data for targeted
advertising

3. Problem solving
1 Define the digital divide and censorship
2
Discuss how internet and technology can further
divide people based on digital literacy, affordability
and infrastructure availability
3 Talk about information censorship by governments and
corporations
4 Explain how censorship impacts freedom of expression and
access to information
5 Propose ways to increase digital inclusion and reduce censorship

4. Surveillance
Government
Surveillance
Monitoring of citizens'
communications and
activities by government
agencies without consent.
Corporate
Surveillance
Collection of personal data
by companies for marketing,
profiling and other purposes
without full transparency.
Mass Surveillance
Bulk collection of data on
entire populations enabled
by technology.
Biometric
Surveillance
Use of facial recognition,
DNA databases and other
biometric data for
identification and tracking.
Online Tracking
Monitoring of web browsing,
purchases, locations and
other digital activities often
via cookies, pixels and other
tools.
Surveillance Ethics
Debate around balancing
privacy rights with purported
security/business interests
behind surveillance
practices.

5. Algorithmic Bias
Algorithmic bias occurs when algorithms
perpetuate or amplify inequality.
This can happen when the data used to train
an algorithm reflects existing biases, or when
the algorithm is designed in a way that leads
to discriminatory outcomes.
Common examples include:
1. facial recognition algorithms that are less
accurate for people of colour,
2. predictive policing algorithms that over-
police minority neighborhoods, and
3. hiring algorithms that disadvantage
women.

6. Accountability Transparency of data collection
Explainability of model
decisions
Auditability of systems
Responsibility
for harms

7. Intectual Property
Copyright vs. open-source license usage
Copyright
70%
GNU GPL
20%
MIT License
5%
Apache License
3%
BSD License
2%
Open Source

8. Globalization
• Cultural relativism
The view that ethical and moral standards
are culturally defined, and therefore no one
culture's values are objectively true or
superior to another culture's values.
• Cross-border data flows
The transfer of information across national
borders, enabled by the internet and digital
technologies. Raises issues of data privacy,
security, and governance.

9. Augmentation
Prosthetic hand
A prosthetic hand that can restore motor
function for an amputee.
Smart contact lenses
Contact lenses with embedded
technology to monitor glucose levels for
diabetics.
Exoskeleton
A wearable robotic exoskeleton that can
enhance strength and endurance.

10. Some Challenges Ahead
Today
Privacy concerns
with rise of social
media and web
tracking
Near future
Data security as more information
goes digital in online databases
This decade
Questions of ethics around
artificial intelligence and
automated decision
making