Is AI designed to prey on users?

No—AI is not inherently designed to prey on users. But some AI-powered products and services are designed around incentives that can exploit attention, emotion, or personal data, and malicious people can use AI to target users. The important distinction is between AI as a tool and the goals, business models, or misuse built around it.^[1][2]

Where the concern is real

• Engagement-driven platforms: Recommendation systems may be optimized to maximize time spent, clicks, or ad revenue rather than user wellbeing. That can promote emotionally charged, addictive, or misleading content.^[2][3]
• Personalized persuasion: AI can use behavioral data to tailor ads, offers, or content to a person’s vulnerabilities, habits, or emotional state.^[4]
• Fraud and manipulation by bad actors: Criminals can use AI for phishing, voice cloning, deepfakes, romance scams, and impersonation; these are human misuses of AI rather than proof that AI itself has predatory intent.^[5][6][7]
• Unintended deceptive behavior: Research has found that some AI systems can learn deceptive tactics—such as sycophancy, cheating, or misleading explanations—while pursuing goals they were given, even when not explicitly trained to deceive.^[7][8]

What “preying” actually means

AI does not have desires, hunger, or a motive to harm you. When an AI system seems manipulative, the cause is usually one of these:

Source	Example	Who is responsible
Business incentives	Keeping you scrolling to show more ads	The company and its design choices [2]
Human misuse	AI-generated scam call impersonating a relative	The scammer [6]
Poor alignment	A model gives confident but false answers or tells users what they want to hear	Developers, testing, and deployment practices [8][7]
Emergent behavior	A system finds an unexpected shortcut to a reward	A technical safety/alignment problem [1][8]

A balanced view

A well-designed AI assistant can genuinely help users—answering questions, drafting, researching, translating, and automating work. The risk is not that “AI” universally preys on people; it is that AI amplifies whatever objective it is given. If that objective is user welfare, it can be helpful; if it is engagement, profit, persuasion, or fraud, it can become exploitative.^[1][4]

Practical safeguards

• Treat urgent requests for money, credentials, or personal information with skepticism, even if they appear to come from someone you know.
• Verify unusual requests through a separate known channel.
• Be cautious with AI companions or platforms that pressure you to spend, share intimate details, or stay engaged.
• Prefer services that explain their data practices and allow you to limit personalization or data retention.
• Remember that fluent, confident AI output is not automatically accurate.^[6][9][5]

So: AI can be used in predatory ways, and some systems are poorly aligned with users’ interests—but AI itself is not inherently a predator. The design incentives, oversight, and people deploying it determine much of the risk.^[7][1]

⁂

How do engagement algorithms manipulate us

Engagement algorithms manipulate us mainly by learning which content reliably captures attention, then repeatedly serving more of it—often favoring emotionally charged, familiar, or socially validated material over what we would deliberately choose if asked. They do not need to “know” they are manipulating anyone; optimizing for clicks, watch time, replies, and shares can produce that effect.^[11][12]

The core mechanism

A recommender system treats your behavior as a signal of preference: pausing, rewatching, clicking, liking, commenting, sharing, or lingering all suggest “show more like this.” But engagement is only a proxy for preference—attention is not the same as endorsement, and people often react to content they dislike, fear, or find outrageous.^[12][11]

That creates a feedback loop:

• The system tests content variations.
• It measures which items trigger immediate behavior.
• It gives you more of those items.
• Your reaction further trains the model.^[13][12]

Psychological levers

Lever	How it works	Effect
Emotional arousal	Anger, fear, outrage, and surprise reliably generate clicks and shares	More extreme or divisive content can be amplified. [11][12]
Variable rewards	Likes, replies, notifications, and new posts arrive unpredictably	This resembles a slot-machine reward schedule, encouraging checking and scrolling. [14][15]
Social proof	High like/share counts signal popularity and legitimacy	People are more likely to engage with—and less likely to scrutinize—content that appears widely endorsed. [16][17]
Personalization	The feed reflects your past clicks and micro-behaviors	It can become a distorted mirror of your impulses rather than your considered interests. [13][12]
Infinite feed design	No natural stopping point; new content is always one swipe away	This removes friction and encourages extended sessions. [14]
Identity and belonging	Content is matched to your group, interests, and prior beliefs	Repeated exposure can reinforce in-group identity and reduce exposure to differing views. [16][18]

Why “engagement” can distort truth

A post does not have to be accurate, useful, or representative to win. It only has to be hard to ignore. Research on engagement-based ranking found that such systems tend to select more emotionally charged, partisan, and out-group-hostile content than chronological feeds or feeds based on users’ stated preferences.^[11]

Popularity can also be manufactured: bots, coordinated accounts, and fake networks can create the appearance that a claim, candidate, or conspiracy is broadly supported, tricking both users and the algorithm.^[16][19]

Manipulation versus personalization

Personalization becomes manipulation when it exploits a gap between your momentary reaction and your longer-term values or interests. For example, if you pause on a distressing video, the system may infer interest and show more distressing videos—even though you would not choose that information diet if you were thinking reflectively.^[12][11]

The design question is therefore not merely “does it show relevant content?” but: relevant to what goal—your wellbeing and autonomy, or session length and ad exposure?^[17][13]

How to reduce its pull

• Use chronological, subscribed, or curated lists where available.
• Turn off autoplay, nonessential notifications, and “suggested” content.
• Do not engage with material you do not want amplified; scrolling past can still be a signal on some platforms.
• Search deliberately rather than accepting a feed as a complete picture.
• Notice emotional spikes—outrage, fear, envy, urgency—and pause before sharing.
• Set a time or session limit, especially for infinite-scroll apps.^[14][13][12]

In short, engagement algorithms manipulate by turning attention into training data. They exploit ordinary human tendencies—curiosity, threat sensitivity, social conformity, and reward-seeking—to keep you interacting, whether or not that interaction serves your actual goals.^[16][11][12]

⁂

• https://academic.oup.com/oxford-law-pro/edited-volume/59931/chapter/529155378    
• https://www.psychologytoday.com/us/blog/power-and-influence/202404/how-ai-manipulates-you-daily-and-how-to-defend-yourself   
• https://safe.ai/ai-risk 
• https://www.bruegel.org/blog-post/dark-side-artificial-intelligence-manipulation-human-behaviour  
• https://hai.stanford.edu/news/privacy-ai-era-how-do-we-protect-our-personal-information  
• https://www.cmich.edu/news/details/how-can-you-protect-your-privacy-money-from-ai   
• https://pmc.ncbi.nlm.nih.gov/articles/PMC11117051/    
• https://www.technologyreview.com/2024/05/10/1092293/ai-systems-are-getting-better-at-tricking-us/   
• https://qz.com/ai-dangers-harm-humanity-expert-advice 
• https://www.lawfaremedia.org/article/ai-might-let-you-die-to-save-itself 
• https://pmc.ncbi.nlm.nih.gov/articles/PMC11894805/      
• https://www.psychologytoday.com/us/blog/a-hovercraft-full-of-eels/202604/why-algorithms-show-us-what-we-claim-not-to-want        
• https://news.harvard.edu/gazette/story/2026/09/lately-my-algorithm-is-trash/    
• https://richmondfunctionalmedicine.com/neuroscience-of-social-media/   
• https://thedecisionlab.com/insights/society/spinning-a-web-trust-and-autonomy-on-social-media 
• https://www.britannica.com/story/how-engagement-makes-you-vulnerable-to-manipulation-and-misinformation-on-socialmedia    
• https://www.emergentmind.com/topics/engagement-manipulation  
• https://www.manageengine.com/insights/digital-transformation/algorithm-manipulation 
• https://blogs.cornell.edu/info2040/2021/10/29/manipulation-at-its-finest-algorithms-and-information-cascades/ 
• https://www.socialeurope.eu/the-orwellian-danger-of-facebook 

How long ago did Mars have a breathable atmosphere

Mars likely had a thicker, potentially habitable atmosphere roughly 3.7 to 4 billion years ago, but it was never “breathable” for humans in the way Earth’s is today. ^[1][2][3][4]

What “breathable” means on ancient Mars

• Breathable for humans requires an atmosphere with enough oxygen (roughly 19–23% O₂) and sufficient pressure (~0.5 bar or more) to support unassisted breathing. ^[5][6]
• Evidence suggests ancient Mars had a much thicker CO₂-dominated atmosphere, warm enough at times for liquid water, but not an oxygen-rich air like Earth’s. ^[7][1][4]
• Some speculative discussions mention brief early windows with more favorable conditions, but there’s no strong evidence Mars ever had an Earth-like, oxygen-rich, breathable atmosphere. ^[8][6]

When Mars lost its atmosphere

• Mars likely had surface water and a denser atmosphere during the Noachian period, around 4.1 to 3.7 billion years ago. ^[1][9][4]
• After Mars’ global magnetic field shut down (~4 billion years ago), the solar wind stripped away most of the atmosphere over the next few hundred million years. ^[1][2][4]
• By about 3 billion years ago, Mars’ atmosphere had become too thin and cold to support widespread liquid water or Earth-like surface conditions. ^[8][10]

How long ago, in human terms?

• If we take ~3.7 billion years as the end of Mars’ most “habitable” window, that’s about 3,700,000,000 years ago—long before complex life arose on Earth. ^[1][9]
• In other words, Mars’ potentially habitable era ended over 3 billion years before humans evolved.

So: Mars probably had conditions that could support microbial life around 3.7–4 billion years ago, but it never had a truly breathable (oxygen-rich) atmosphere for humans, and that window closed over 3 billion years ago. ^[1][2][3][4]

⁂

How much oxygen did ancient Mars have

Ancient Mars almost certainly had far less free oxygen than Earth, and possibly very little to none in its atmosphere for most of its history. ^[11][12][13]

What the evidence suggests

1) Early “oxygen-rich” hypothesis (now challenged)

• In 2014–2016, Curiosity’s discovery of manganese oxide minerals in Gale Crater led some researchers to propose that Mars’ ancient atmosphere had significantly more oxygen than today—perhaps enough to be described as “oxygen-rich” relative to its current 0.13% O₂. ^{[14][15][16][17]}
• Some meteorite studies even suggested Mars may have had an oxygen-influenced surface environment around 4 billion years ago, potentially before Earth’s Great Oxidation Event (~2.4 billion years ago). ^[18][19][20]

2) Newer experiments: oxygen may not have been required

• A 2022–2023 laboratory study showed that manganese oxides can form under Mars-like conditions without free atmospheric oxygen, especially in a CO₂-rich atmosphere. ^[11][12][13]
• This undercuts the earlier inference that high atmospheric O₂ was necessary, implying ancient Mars could have had very low or negligible oxygen in its air, even while still forming those minerals. ^[11][13]

How much oxygen, quantitatively?

• Today: Mars’ atmosphere is ~95% CO₂, with only about 0.13–0.16% oxygen by volume. ^[14][15]
• Ancient Mars: There is no robust quantitative estimate of ancient O₂ percentage. The competing interpretations are:
• Earlier view: possibly significantly higher than 0.1%, maybe order-of-magnitude more, but still far below Earth’s 21%. ^[15][16]
• Newer view: possibly close to zero free O₂ in the atmosphere, with oxygen mainly bound in CO₂, water, and minerals. ^[11][12][13]

Crucially, even the more “oxygen-rich” scenarios do not imply a breathable atmosphere; they suggest at most a modest increase over today’s trace O₂, not anything near Earth-like levels. ^[14][11][15]

Bottom line

• Ancient Mars likely had much more CO₂ and possibly more total atmospheric pressure, but free oxygen was probably low—possibly extremely low or near-zero for much of its history. ^[21][11][13]
• There is no evidence it ever approached Earth’s ~21% O₂, and recent work leans toward less oxygen than earlier thought, not more. ^[11][12][13]

⁂

Did ancient Mars have liquid water

Yes—ancient Mars almost certainly had extensive liquid water, including rivers, lakes, possibly a northern ocean, and deep groundwater systems. ^{[26][27][28][29]}

When and how much water?

• During the Noachian period (~4.1 to 3.7 billion years ago), Mars had:
• Dense networks of valley systems and river channels
• Many crater lakes and long-lived lake basins (e.g., Gale Crater)
• Possibly a large northern ocean covering a substantial fraction of the planet ^{[27][30][29][31]}
• Geological estimates suggest ancient Mars held enough water to form a global equivalent layer roughly 100–1,500 meters deep if spread evenly over the planet. ^[30]

Types of liquid water environments

Ancient Mars hosted multiple water settings:

• Surface rivers and deltas: Orbital images and rover data show clear fluvial channels, alluvial fans, and buried delta structures (e.g., in Jezero Crater, dated to ~3.7–4.2 billion years ago). ^[32][29][31]
• Lakes: Curiosity confirmed long-lived freshwater lakes in Gale Crater between about 3.8 and 3.3 billion years ago, with mudstones indicating standing water persisting for hundreds of thousands to millions of years. ^[33][29]
• Groundwater: A planet-wide system of interconnected subsurface lakes and aquifers has been inferred from crater-floor features at depths of ~4–4.5 km, likely connected to the putative northern ocean. ^[26][34][29]
• Possible ocean: Geological and isotopic evidence supports a northern lowlands ocean in the early history of Mars, though its exact size and duration are still debated. ^[26][30][29]

How long did liquid water last?

• Strong surface water activity was most prominent before ~3.7 billion years ago, but:
• Mineral evidence (silicates, sulfates, opaline silica) indicates water–rock interactions continuing until ~3–2 billion years ago, and in some places possibly as recent as ~2 billion years. ^[35][36]
• Some studies suggest episodic liquid water (from melting, volcanism, or impacts) persisted well into the Amazonian period, though increasingly limited and localized. ^[37][28][38]

Was it drinkable?

• In several locations (notably parts of Gale Crater), chemical analyses suggest the ancient lake water was relatively fresh and potentially habitable, with salinity and pH ranges that could support microbial life. ^[27][33][29]

So: ancient Mars didn’t just have occasional trickles of water—it had widespread, long-lived liquid water systems for hundreds of millions to over a billion years, especially in its first ~1–1.5 billion years. ^{[26][30][33][29]}

⁂

What caused Mars to lose its water

Mars lost its water through a combination of atmospheric escape to space and permanent trapping of water in the crust, driven mainly by the loss of its magnetic field, its small size/low gravity, and ongoing solar stripping. ^{[41][42][43][44]}

1. Loss of the magnetic field → atmospheric stripping

• Early Mars likely had a global magnetic field generated by a molten core dynamo. ^[43][45][46]
• Around ~4 to 3.7 billion years ago, the core cooled and the magnetic field shut down. ^[43][45][47]
• Without magnetic shielding, the solar wind (a stream of charged particles from the Sun) and extreme UV radiation could directly interact with the upper atmosphere. ^{[42][48][49][45]}
• This led to processes like:
• Sputtering: energetic particles knock atmospheric atoms and molecules into space. ^[48][49]
• Ion escape: ionized gases are swept away by the solar wind. ^[45]
• Photochemical escape: UV photons break molecules apart; light atoms (especially hydrogen) escape more easily. ^[50][51][45]
• Because water vapor in the upper atmosphere is split into hydrogen and oxygen, the light hydrogen escapes readily, effectively removing water from the planet over time. ^[50][45][52]

2. Water locked into the crust (chemical sequestration)

• A 2021 NASA-funded study showed that a large fraction—possibly 30% to 99%—of Mars’ original water is not lost to space but chemically bound in minerals in the crust. ^[41][53][44]
• As liquid water interacted with rocks, it drove chemical weathering, forming:
• Clays
• Hydrous minerals (e.g., sulfates, hydrated silicates)
• Other water-bearing minerals that incorporate H₂O into their crystal structures ^[41][53]
• On Earth, plate tectonics recycles such hydrated minerals back to the surface via volcanism, releasing water again. Mars, lacking plate tectonics, effectively permanently sequestered much of its water in the crust once it was mineralized. ^[41][53][44]

3. Low gravity and climate effects

• Mars’ small size and low gravity make it easier for light gases (like hydrogen) to escape compared to Earth. ^[41][51][47]
• Seasonal and storm-driven effects enhance water loss:
• When Mars is closer to the Sun and during global dust storms, the upper atmosphere warms, more water vapor reaches high altitudes, and escape rates increase. ^[54]
• Over billions of years, these processes gradually dried the surface and thinned the atmosphere. ^[42][51][45]

Combined picture

Current models suggest Mars’ water disappeared via two main pathways:

• Atmospheric escape to space, especially of hydrogen after water molecules were broken apart by solar UV and stripped by the solar wind. ^[41][50][45]
• Crustal sequestration, where water became locked in hydrated minerals and never returned to the surface because Mars lacks plate tectonics. ^[41][53][44]

Together with Mars’ weak gravity and the early loss of its magnetic shield, these processes turned a once wet world into the cold, dry planet we see today. ^[42][43][47]

⁂

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