THREATS IN THE AI AGE
- diegorojas41
- Mar 20
- 7 min read

Modern technology has provided incredible tools for advancement, but it has also opened new avenues for bias, control and discrimination to grow. When misused, innovations like artificial intelligence (AI) and genetic engineering can exacerbate existing inequalities, leaving marginalized communities even more exposed. Paired with harmful ideologies such as nationalism or "blood purity," these technologies can divide society and target vulnerable populations.
This blog focuses on these issues. It brings together at a glance all the main concerns brought upon us by these technologies, thus highlighting their implications for equity, control, divisions and the future of humanity.
1. Data Collection and AI Profiling
Technology collects vast amounts of personal data, often without people realizing it. This data can reveal:
● Where You Go: Smartphones track location data, showing patterns of movement.
● Who You Are: Social media captures cultural habits, beliefs, and social networks.
● Your Private life and Preferences: Online Shopping or Search Habits.
● Your Health and Finances: Healthcare records now include genetic and biometric information. Financial transactions show daily habits and group affiliations.
Once collected and analyzed, detailed psychological and social profiles of individuals and communities can be created. This information, if misused by governments or corporations, can be leveraged to monitor, categorize, and target specific groups, exposing them to potential discrimination or exploitation. The stakes are particularly high when such data falls into the wrong hands, amplifying the risks of surveillance and societal manipulation while threatening the privacy and autonomy of affected populations.
2. Algorithmic Bias and Amplification
AI systems are only as good as the data they're trained on, and that’s where problems arise. Historical biases in data can lead to unfair outcomes, such as:
● Healthcare Inequality: Some algorithms prioritize patients based on spending patterns, which can disadvantage underfunded communities.
● Loan Discrimination: AI used in banking often reflects historical biases, denying loans to marginalized groups.
● Facial Recognition Issues: These systems are less accurate for people from certain racial or ethnic groups, leading to misidentifications.
● Job Screening: Employment software can reject applicants based on subtle linguistic or cultural differences.
In each of these cases, technology doesn't just reflect society’s biases, it magnifies them.
3. The Surveillance Web
Modern surveillance technologies are weaving a network of observation that tracks individuals' movements and behaviors in increasingly detailed ways. These tools, when interconnected, form a powerful system of monitoring:
● Public Cameras with Facial Recognition: Security cameras in streets, businesses, and public places are now often paired with facial recognition technology. This allows for real-time identification of individuals, creating opportunities for both safety measures and privacy violations.
● License Plate Readers: These devices scan and log license plates, creating detailed maps of vehicle movement patterns. This data can track where people travel and when they do so, often without their consent.
● Social Media Analysis: Platforms like Facebook and Twitter can be mined to reveal information about group activities, public events, or even private gatherings based on shared photos and posts.
● Biometric Data at Checkpoints: Airports, border crossings, and government facilities increasingly use fingerprinting, iris scans, and facial recognition to verify identities. This data often becomes part of permanent records that can be accessed or shared without individuals’ knowledge.
● Smart City Sensors: Urban areas are adopting "smart" technologies that monitor population flows through traffic cameras, environmental sensors, and public transportation systems. While useful for city planning, this information can also be exploited for surveillance.
4. Biological Technologies
Advances in biological technologies, particularly genetic engineering, have opened up new possibilities for science and medicine. However, these developments also raise ethical concerns and highlight the need for robust privacy protections.
The CRISPR Revolution
The development of CRISPR and similar gene-editing tools has transformed biological research, making genetic modification more accessible than ever:
● Easier Access and Lower Costs: Once limited to advanced laboratories, these tools are now more affordable and widely available, democratizing their use in research and beyond.
● Medical Breakthroughs: Gene-editing holds enormous potential for curing genetic diseases and creating treatments for conditions that were previously untreatable.
● Need for Oversight: The rapid expansion of these capabilities calls for strict regulations to prevent misuse and ensure ethical standards. Oversight can address concerns like unintended consequences or the misuse of genetic tools for harmful purposes.
● Equity in Benefits: It’s essential to ensure that the advantages of these breakthroughs are distributed fairly, avoiding a future where only certain populations benefit.
Potential for Targeted Biological Agents
These advanced technologies also contain the inherent capacity of creating targeted biological agents, raising serious ethical and security concerns:
● Precision in Targeting: Using genetic information, biological agents can be designed to affect specific populations, individuals, or even traits. For example, genetic markers unique to certain ethnic groups or regions could potentially be exploited to craft tailored biological threats.
● Dual-Use Dilemma: While these technologies can offer medical breakthroughs - such as targeting cancer cells or treating genetic diseases - they can also be misused for harmful purposes, including bioterrorism or military applications.
● Impact on Vulnerable Communities: Marginalized or underrepresented groups may be at greater risk if their genetic data is used without consent, leading to exploitation or targeted attacks.
● Need for Regulation: Addressing these risks requires strict international oversight, collaborative agreements to prevent misuse, and robust mechanisms to monitor the development and deployment of genetic technologies.
Technology will advance. This means we must create strong guidelines to protect people's privacy and ensure everyone is treated fairly. While developing new innovations is important, we need smart regulations to prevent potential problems while still allowing progress that benefits society. Having clear global rules and ethical standards is crucial, especially for powerful tools like genetic engineering, so they're used to help rather than harm humanity.
5. Rising Nationalist Rhetoric
Nationalistic and hateful discourse has resurfaced in American politics and culture, subtly reinforced through modern political platforms and narratives that often disguise discriminatory ideas as efforts to protect culture or pursue scientific inquiry. Examples of common nationalistic themes used are:
● Economic Justifications: Arguments about economic collapse and job scarcity often mask xenophobic motives.
● ¨Traditional Values¨ Rhetoric: Terms like "heritage", "traditional values" or "cultural purity" are used to marginalize diverse groups under the guise of cultural preservation.
● Scapegoating: Blaming marginalized populations for complex issues like unemployment, crime, or public resource strain.
● Replacement Theory: The claim that minority groups are intentionally "replacing" majority populations in demographic terms, often framed as an existential threat.
● Dehumanization: Portraying minority groups as simultaneously weak and dangerous to society.
● Revival of Eugenics: Concepts like Human Biodiversity (HBD) suggest genetic hierarchies to justify discrimination, cloaked in pseudo-scientific language.
Platforms serve as accelerants for these narratives by boosting engagement with inflammatory and polarizing content through:
1. Algorithmic Design: Content that sparks strong emotions - outrage, fear, or anger - is given priority over measured, factual information.
2. Echo Chambers: Users are steered toward like-minded groups, reinforcing and radicalizing their existing beliefs.
3. Strategic Misinformation:
Memes and infographics are weaponized to normalize extreme ideas.
Bot networks amplify divisive messages to create the illusion of widespread support.
Influential individuals with significant resources push biased narratives, often under the guise of science.
4. Coordinated Harassment: Targeted attacks on activists, journalists, and marginalized groups aim to silence opposition.
5. Accepted terminology
This type of hateful rhetoric, which sometimes comes from prominent public figures and wealthy individuals, increasingly aligns with historical patterns of discrimination. To avoid public backlash, targeted attacks often replace overt slurs with seemingly "acceptable" terminology, subtly legitimizing fringe theories and perpetuating prejudice under the guise of respectability. Some examples are:
● Replacing antisemitic slurs with terms like "globalist."
● Phrasing immigration as an "invasion" or "flood."
● Masking racial bias in discussions about "merit" or "qualification concerns."
● Phrases like "urban areas" or "inner city" subtly target specific racial or socio-economic groups.
● Framing intelligence or social behaviors as genetically predetermined and linked to race or ethnicity.
Modern discriminatory rhetoric often disguises itself with coded language, (SEE ABOVE) using seemingly neutral terms to subtly reinforce prejudice and legitimize harmful ideologies. This manipulation makes it crucial to critically analyze the true intent behind such messaging.
In extreme scenarios, urgent global issues like climate change could be co-opted to justify alarming measures. For example, under the guise of "saving the planet," proposals might covertly promote population control in specific world regions, potentially targeting marginalized communities. These actions, executed through advanced technologies, could remain hidden, underscoring the need for vigilance, transparency, and ethical oversight in addressing both global challenges and the misuse of high-tech solutions.
WHAT CAN WE DO?
Protection Strategies
Modern challenges demand coordinated efforts to safeguard against misuse of emerging technologies. What follows are key strategies required for community protection.
Human Rights Protections
● Regulation of Genetic Research: Enforce international agreements like the Oviedo Convention to govern genetic manipulation and prevent its misuse.
● DNA Collection Consent: Mandate clear, informed consent for DNA collection and use, ensuring individuals understand risks and implications.
● Data Security Standards: Establish protocols for secure storage and encryption of genetic and biometric information to prevent breaches or misuse.
International Monitoring Systems
● Oversight Organizations: Expand the role of bodies like UNESCO and WHO in monitoring ethical practices in technology.
● Transparency Requirements: Push for mandatory reporting of genetic and AI research, with independent audits.
Community Organization and Vigilance
● Empowering Local Initiatives: Encourage grassroots movements to monitor technological developments affecting their communities.
● Educational Campaigns: Raise awareness about genetic privacy and data protection through accessible resources.
● Shared Resources: Develop tools for communities to track and respond to discriminatory practices effectively.
● Unified Resistance: Promote solidarity among communities facing similar threats, fostering collective action.
This blog exemplifies the profound challenges and opportunities presented by emerging technologies like AI, genetic engineering, and surveillance systems. We examined how these tools, while promising advancements, carry risks of amplifying bias, enabling discrimination, and eroding individual freedoms if misused.
Recognizing historical echoes in modern rhetoric, we uncovered how coded language and pseudo-scientific narratives continue to justify exclusion and harm.
Protection strategies emphasizing legal frameworks, ethical research, community vigilance, and international collaboration offer a path forward. By fostering inclusivity, ensuring transparency, and building resilient alliances, we can navigate these complexities and advocate for a fair, ethical technological future that prioritizes humanity's collective well-being. Hopefully.
Thanks for reading. Abrazos.
Diego Rojas
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