Ethical-AI-Can-We-Trust-Machines

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Ethical AI Can We Trust Machines?
Exploring the promise, perils, and ethical
dimensions of artificial intelligence in our
modern world.
by Ozías Rondón
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What is Artificial Intelligence?
Definition
Types of AI
AI refers to computer systems designed to perform
tasks that typically require human intelligence.
Narrow AI excels at specific tasks like chess or
facial recognition.
These systems learn from data and improve over
time without explicit programming.
General AI would match human capabilities across
all domains, but remains theoretical.
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The Rise of AI in Our Daily Lives
Ubiquitous Technology
Healthcare Revolution
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AI powers smartphone assistants, recommendation
engines, and navigation apps.
AI systems now diagnose diseases from medical
images with remarkable accuracy.
Workplace Transformation
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Automation reshapes industries from manufacturing
to customer service.
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The Promise of AI
Enhanced Productivity
AI automates routine tasks, freeing humans for
creative and strategic work.
Complex Problem Solving
AI tackles challenges from climate modeling to
protein folding with unprecedented power.
Human Augmentation
AI extends our capabilities through tools like
real-time translation and medical diagnostics.
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Ethical Concerns in AI
Bias Discrimination
Privacy Violations
AI systems can perpetuate and amplify existing
social prejudices.
AI enables unprecedented surveillance and data
exploitation.
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Lack of Transparency
Accountability Gaps
Many AI systems function as "black boxes" with
inscrutable decision processes.
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Unclear responsibility when AI systems cause harm.
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AI Bias A Closer Look
Facial Recognition Failures
Hiring Discrimination
Sources of Bias
Systems perform poorly on darker-skinned faces
and women due to skewed training data.
Recruitment algorithms favor candidates similar
to existing employees, perpetuating imbalances.
Biased training data, flawed algorithms, and lack
of diverse development teams all contribute.
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The Black Box Problem
Problem
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Complex AI decisions remain unexplainable.
Impact
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Users can't verify fairness or correctness.
Risk
3
Trust erodes when systems can't justify choices.
Challenge
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Balancing performance with explainability remains
difficult.
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AI and Privacy
Data Hunger
Surveillance Expansion
AI systems require massive amounts of data, often
collected without meaningful consent.
AI-powered cameras recognize faces, analyze
behavior, and track individuals across locations.
Personal information becomes permanent digital
artifacts used in unexpected ways.
This creates unprecedented capabilities for
monitoring citizens' activities.
Digital Profiling
AI builds detailed profiles predicting our
behaviors, preferences, and vulnerabilities.
These profiles enable manipulation through
targeted content and advertising.
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AI Safety and Control
Alignment
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Ensuring AI goals match human values
Containment
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Limiting AI capabilities and access
Testing
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Rigorous verification of behaviors
Oversight
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Human supervision of AI systems
Kill Switch
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Emergency shutdown mechanisms
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The Trolley Problem in AI
Unavoidable Harm
Programmed Ethics
Impossible Choices
Cultural Variations
Self-driving cars must make split-second
decisions when accidents are unavoidable.
Engineers must translate abstract moral values
into concrete algorithmic rules.
Should AI prioritize passengers, pedestrians, or
minimize total harm?
Ethical priorities differ across societies,
complicating global AI deployment.
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AI in Warfare and Security
Autonomous Weapons
Military systems that select and engage targets
without human intervention raise profound
concerns.
AI-Powered Attacks
Advanced systems can generate convincing phishing
attacks and bypass security measures.
Cyber Defense
AI systems detect and respond to threats faster
than human analysts.
Arms Race
Nations compete for AI military supremacy,
potentially sacrificing safety and ethics.
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Job Displacement and Economic Impact
Jobs Automated (Millions)
New Jobs Created (Millions)
AI automation creates new jobs but eliminates
more existing ones. The gap widens over time.
Without intervention, economic inequality may
dramatically increase as job markets transform.
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Regulating AI Current Efforts
EU AI Act (2021)
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Comprehensive framework categorizing AI systems
by risk level with corresponding requirements.
US Executive Order (2023)
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Directs agencies to develop safety standards for
powerful AI systems.
China's AI Governance (2022)
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Regulations focusing on algorithmic transparency
and data security.
Industry Initiatives
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Major tech companies establish ethics boards and
voluntary principles.
International Cooperation
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OECD, G7, and UN efforts to coordinate global AI
governance approaches.
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Ethical AI Frameworks
Major frameworks emphasize common principles
transparency, fairness, privacy, safety, and
human oversight.
Implementation varies widely, with tensions
between abstract principles and practical
application.
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Building Trust in AI Systems
Accountability
Explainability
Clear responsibility for AI outcomes.
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AI should justify decisions in human terms.
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Fairness
Testing and correcting for biases.
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Transparency
Human Oversight
Open documentation of capabilities and
limitations.
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Meaningful human control of critical systems.
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The Role of Education
85
Digital Literacy Gap
Percentage of adults who cannot explain how AI
influences their lives.
2.1M
Developer Shortage
Projected global shortage of AI-skilled workers
by 2030.
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Ethics Training
Computer science programs that include mandatory
ethics curriculum.
10x
Knowledge Acceleration
Rate at which AI knowledge requirements are
growing versus educational updates.
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The Future of AI Ethics
Challenge
Emerging Consideration
Rights for AI?
As systems become more sophisticated, should they
have legal protections?
Emotional AI
Systems that recognize and manipulate human
emotions raise new concerns.
Digital Divide
AI benefits may flow primarily to wealthy nations
and individuals.
Human Identity
AI challenges our understanding of uniquely human
capabilities.
Superintelligence
Far-future AI could potentially exceed human
control.
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Can We Trust Machines?
The Promise
The Risk
The Path Forward

• Unprecedented problem-solving

• Unintended consequences

• Robust governance

• Enhanced human capabilities

• Malicious use

• Stakeholder inclusion

• Efficiency and innovation

• Systemic bias

• Technical safeguards

• Scientific breakthroughs

• Opacity and lack of control

• Continuous vigilance

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Call to Action Empower Yourself
Stay Informed
Protect Your Data
Advocate
Follow AI developments and understand how they
affect your life.
Demand transparency from companies using AI that
affects you.
Review privacy settings on digital services and
limit data sharing.
Learn basic AI concepts to demystify the
technology.
Support organizations working toward ethical AI
development.
Support privacy-focused technologies and
regulations.
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