Tag: Artificial Intelligence

  • Google and Big Tech: From “Don’t be Evil” to “Ethically Flexible”

    Google and Big Tech: From “Don’t be Evil” to “Ethically Flexible”


    In February 2025, Google quietly removed a long standing pledge from its AI Principles: the commitment not to build artificial intelligence for weapons or surveillance from its publicly stated principles. What might look like a minor update to corporate policy is, in reality, a seismic shift in the politics of technology. When one of the world’s largest tech companies decides that it’s open to developing AI for warfare, the implications for human rights, accountability, and the future of digital freedom are enormous.

    Ethically Flexible Approach to AI

    Back in 2018, Google introduced its “AI Principles”  where  it committed not to design or deploy AI for use in “weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people,” and “technologies that gather or use information for surveillance violating internationally accepted norms.” However, fast-forward to early 2025, and those explicit prohibitions are gone. Google removed the section titled “Applications we will not pursue” (including weapons) from its website.  Instead, the updated policy says Google will work to align its AI with “widely accepted principles of international law and human rights” and support national security missions among governments that share certain values.

    Why does this matter? Because when a company with Google’s impact decides that  it is open to AI‐weapons (or AI for weapons decisions, or enabling military functions) the accessibility and “normality” of these weapons grows, this means:  faster kill‐chains, less human oversight, and less clarity about responsibility and accountability. And when the threshold for deployment is “we believe the benefits substantially outweigh the risks,” you open a Pandora’s box of ethical implications. 

    The company’s new language focuses on “alignment with human rights” and “human oversight,” but offers no clear mechanism, no binding standards, and no guarantee that AI systems will be safe, transparent or auditable. As Human Rights Watch put it: voluntary guidelines are not a substitute for enforceable law.

    Why This Matters for Digital Rights, Especially in the Gulf

    This shift isn’t only about weapons. It’s about the deepening merger between Big Tech, state power, and systems of surveillance, which has severe  implications for digital rights across the Gulf and beyond .

    Around the world, AI systems built by private companies are already being used to analyse battlefield data, predict threats, and even select targets; where algorithmic decisions could determine who lives, who dies and who gets a say. But what’s new, and deeply concerning, is that global tech giants are now openly positioning themselves as partners in this militarised AI future.

    Three Key Concerns

    In the Gulf, the stakes are particularly high. The region has seen a great increase in expansion of state surveillance infrastructure, often framed as “smart governance” or “digital transformation.” When AI developed by companies like Google becomes embedded in these systems, it can dramatically amplify governments’ capacity to monitor, profile, and suppress dissent; especially in contexts where freedom of expression and privacy protections are already limited.

    1. Erosion of Ethical Boundaries
      Once a company removes a clear “we won’t build this” clause, there’s no line left to defend. The principle and ethics surrounding AI becomes negotiable – a matter of interpretation, not conviction. The risk is not only what’s done, but the slippery slope: once the boundary moves, what stops further erosion?
    2. Accountability Black Hole
      AI in warfare and surveillance operates in complex, opaque systems where errors or abuses are hard to trace. Who is responsible when an algorithm misidentifies a civilian as a target? The engineer? The military? The company? Without enforceable transparency and oversight, accountability disappears. In some cases, this might be by design. If the algorithm simply “misfired,” then the person that wanted to pull the trigger in the first place gets off free.
    3. A Race to the Bottom
      Google justifies its change by invoking global competition; the need for “democracies” to lead in AI. But this logic risks triggering an arms race where ethical restraint is seen as weakness. If every company or country acts on that logic, no one wins and everyone loses.

    Why we cannot rely only on self-regulation


    Google’s decision to remove its pledge against AI for weapons is a flashing warning light. It tells us: the AI era’s ethical foundations are shifting. We must ask ourselves: when the company that once said “don’t be evil” says it is comfortable working on AI that might harm or surveil or kill, what does that say about the future we’re designing?

    The use of this technology is far from  “neutral” and how we choose to regulate it, govern it and deploy it will shape societies for decades. Let’s not allow the narrative to be set solely by corporate boardrooms or military budgets. The public stake is too high.


    In February 2025, Google quietly removed a long standing pledge from its AI Principles: the commitment not to build artificial intelligence for weapons or surveillance from its publicly stated principles. What might look like a minor update to corporate policy is, in reality, a seismic shift in the politics of technology. When one of the world’s largest tech companies decides that it’s open to developing AI for warfare, the implications for human rights, accountability, and the future of digital freedom are enormous.

    From “Don’t be Evil” to “Ethically Flexible”

    Back in 2018, Google introduced its “AI Principles”  where  it committed not to design or deploy AI for use in “weapons or other technologies whose principal purpose or implementation is to cause or directly facilitate injury to people,” and “technologies that gather or use information for surveillance violating internationally accepted norms.” However, fast-forward to early 2025, and those explicit prohibitions are gone. Google removed the section titled “Applications we will not pursue” (including weapons) from its website.  Instead, the updated policy says Google will work to align its AI with “widely accepted principles of international law and human rights” and support national security missions among governments that share certain values.

    Why does this matter? Because when a company with Google’s impact decides that  it is open to AI‐weapons (or AI for weapons decisions, or enabling military functions) the accessibility and “normality” of these weapons grows, this means:  faster kill‐chains, less human oversight, and less clarity about responsibility and accountability. And when the threshold for deployment is “we believe the benefits substantially outweigh the risks,” you open a Pandora’s box of ethical implications. 

    The company’s new language focuses on “alignment with human rights” and “human oversight,” but offers no clear mechanism, no binding standards, and no guarantee that AI systems will be safe, transparent or auditable. As Human Rights Watch put it: voluntary guidelines are not a substitute for enforceable law.

    Why This Matters for Digital Rights, Especially in the Gulf

    This shift isn’t only about weapons. It’s about the deepening merger between Big Tech, state power, and systems of surveillance, which has severe  implications for digital rights across the Gulf and beyond .

    Around the world, AI systems built by private companies are already being used to analyse battlefield data, predict threats, and even select targets; where algorithmic decisions could determine who lives, who dies and who gets a say. But what’s new, and deeply concerning, is that global tech giants are now openly positioning themselves as partners in this militarised AI future.

    In the Gulf, the stakes are particularly high. The region has seen a great increase in expansion of state surveillance infrastructure, often framed as “smart governance” or “digital transformation.” When AI developed by companies like Google becomes embedded in these systems, it can dramatically amplify governments’ capacity to monitor, profile, and suppress dissent; especially in contexts where freedom of expression and privacy protections are already limited.

    Three Key Concerns

    1. Erosion of Ethical Boundaries
      Once a company removes a clear “we won’t build this” clause, there’s no line left to defend. The principle and ethics surrounding AI becomes negotiable – a matter of interpretation, not conviction. The risk is not only what’s done, but the slippery slope: once the boundary moves, what stops further erosion?
    2. Accountability Black Hole
      AI in warfare and surveillance operates in complex, opaque systems where errors or abuses are hard to trace. Who is responsible when an algorithm misidentifies a civilian as a target? The engineer? The military? The company? Without enforceable transparency and oversight, accountability disappears. In some cases, this might be by design. If the algorithm simply “misfired,” then the person that wanted to pull the trigger in the first place gets off free.
    3. A Race to the Bottom
      Google justifies its change by invoking global competition; the need for “democracies” to lead in AI. But this logic risks triggering an arms race where ethical restraint is seen as weakness. If every company or country acts on that logic, no one wins and everyone loses.

    Why we cannot rely only on self-regulation


    Google’s decision to remove its pledge against AI for weapons is a flashing warning light. It tells us: the AI era’s ethical foundations are shifting. We must ask ourselves: when the company that once said “don’t be evil” says it is comfortable working on AI that might harm or surveil or kill, what does that say about the future we’re designing?

    The use of this technology is far from  “neutral” and how we choose to regulate it, govern it and deploy it will shape societies for decades. Let’s not allow the narrative to be set solely by corporate boardrooms or military budgets. The public stake is too high.

  • The Gulf’s Smart City Future is Built on Total Surveillance

    The Gulf’s Smart City Future is Built on Total Surveillance

    Across the Gulf, governments are racing to reinvent themselves as hyper-efficient “smart cities”, supported by a growing reliance on digital services, automation, and AI-driven public administration. More recently, the Emirati government declared that it aims to become the world’s first “AI-native” government by 2027, embedding machine learning systems into nearly every layer of governance. But behind this marketing lies an alarming reality: smart-city infrastructure is being repurposed for policing, surveillance, and social control. 

    The UAE provides a clear example of what an AI state looks like in practice. Cameras, biometric systems, and predictive analytics form an ambient surveillance network that residents cannot opt out of. AI systems now support a wide range of public administration functions, including law enforcement, prosecution, and parts of the judicial process. For example, under the UAE’s Oyoon Project, thousands of CCTV cameras across Dubai feed live video to a central command centre where machine-learning algorithms perform continuous facial recognition. This practice has resulted in hundreds of arrests for activities labeled as “suspicious”, but the automated analysis and underlying criteria driving these determinations remain opaque. As noted by Human Rights Watch, the extensive mass surveillance employed through an unregulated AI-driven framework constitutes a serious threat to privacy and freedom of expression.

    The risks are most acute for marginalized communities such as migrant workers, who make up the majority of the UAE population. Predictive policing systems raise the risk that workers may be automatically flagged based on algorithmic profiles. In fact, surveillance technologies are embedded in a social ordering that ties security to race, migration status, and labour, reinforcing structural inequality by rendering certain populations institutionally suspect. For these communities, smart-city infrastructure constitutes a new layer of vulnerability and prosecution. 

    Despite the rapid expansion of AI-enabled policing, the UAE has not implemented any laws regulating the use of AI in criminal proceedings, creating significant due process concerns. Currently, AI systems operate with no independent audit mechanisms and with no procedure to challenge algorithmic errors. Data retention and use remains opaque, lacking any transparency obligations. The result of this legal vacuum is a civic redesign of urban environments, where surveillance becomes normalized and fundamental rights quietly erode.

    The UAE’s smart city policing offers a small-scale preview of the ambitious model taking shape in Saudi Arabia’s NEOM, a smart city megaproject that places dense sensor networks at the core of its infrastructure. A 2025 report reveals that NEOM’s command and control center synthesizes inputs from cameras, sensors and biometric gates to algorithmically map behavior and detect what it labels as anomalies. In light of this, human rights groups warn that NEOM represents a blueprint for full-spectrum monitoring, embedding surveillance into the city and normalizing unprecedented data centralization.

    The UAE’s current practices and Saudi Arabia’s NEOM vision illustrate a regional pattern of smart-city design in which digital services and urban policing converge to form a new Gulf governance model. The shift is therefore not merely a technological one, but a political one as well. Smart-city projects provide states with powerful tools for high-tech authoritarian governance, turning efficiency into enforcement. 

    As the Gulf accelerates toward its smart-city future, an urgent question to consider is whether there are sufficient safeguards and protections over how these technologies reshape the rights and autonomy of populations. DR4G condemns the unregulated expansion of AI-driven surveillance across the Gulf, where smart city technologies are deployed with no transparency or oversight. Additionally, DR4G calls for an immediate rights-based governance of AI systems, which includes clear legal limits on surveillance, independent auditing, and protections for the communities most vulnerable to technological harm. Without enforceable safeguards, the Gulf’s smart cities may become a permanent infrastructure of repression.

  • Saudi Arabia and Kuwait’s AI Partnership: Innovation or Entrenchment of Repression?

    Saudi Arabia and Kuwait’s AI Partnership: Innovation or Entrenchment of Repression?

    Gulf Cooperation Council (GCC) countries are investing substantial resources into the development of artificial intelligence (AI). In a region where national goals focus on economic diversification, innovation, and digital transformation, AI is regarded as a key driver of long-term prosperity. GCC states have all eagerly launched national AI strategies and are now moving to strengthen regional collaboration on AI governance and innovation through strategic partnerships. The latest example of this is the newly forged agreement between Saudi Arabia and Kuwait.

    On 8 July 2025, Saudi Arabia’s Artificial Intelligence Governance Association signed its first-ever international memorandum of understanding (MoU) with Kuwait’s Association of Artificial Intelligence of Things. The agreement seeks to advance AI standards, research, and responsible development in line with Saudi Arabia’s Vision 2030, Kuwait’s Vision 2035, and broader regional goals of exchanging expertise and promoting innovative policies. Yet, while the MoU is framed as a forward-looking partnership, it also raises human rights concerns.

    Both Saudi Arabia and Kuwait have troubling records of repression and restricting basic freedoms. Vague laws in both countries criminalize criticism of the government and impose harsh penalties on speech deemed subversive, including on online platforms that are heavily monitored and moderated. In such environments, AI technologies risk being used to identify, surveil, and target individuals in both physical and digital spaces. Digital rights advocates warn that these tools not only strengthen existing repressive practices but also enable new methods of infringing on privacy and freedom of expression, heightening risks for citizens.

    These risks are amplified by the Gulf’s lack of meaningful AI regulation. Saudi Arabia is often commended for its “regulatory leadership” in AI, yet its framework primarily consists of non-binding guidelines that favor a business-friendly approach aimed at attracting investment. This regulatory model does nothing to protect privacy or limit surveillance, allowing possibilities for human rights abuses through AI technologies, without breaching any domestic laws.

    Kuwait, on the other hand, remains in the early stages of its AI development. While it has made public pledges to integrate human rights principles into its AI strategy, these remain purely aspirational in the absence of any dedicated legal framework. By committing in the MoU to strengthen AI governance alongside Saudi Arabia, Kuwait is aligning with a regulatory model that lacks human rights protections. As it builds its own nascent AI framework, this alignment risks steering Kuwait toward a similar approach that prioritizes economic gains over fundamental freedoms, undermining its ethical commitments and potentially setting a precedent for similar governance models across the Gulf.

    As GCC countries expand AI partnerships, innovation, and economic goals must be balanced with enforceable human rights and privacy protections embedded in binding regulatory frameworks. Without this, regional cooperation risks entrenching weak oversight and enabling the spread of repressive technologies in states already known for restricting freedoms. Only through such safeguards can AI development in the Gulf truly be ethical and responsible.

  • US-Saudi AI Deal and the Dangers of AI  Surveillance in Saudi Arabia

    US-Saudi AI Deal and the Dangers of AI  Surveillance in Saudi Arabia

    This month, President Trump announced a deal with Saudi Arabia that would provide the country with advanced artificial intelligence (AI) chips. The deal sees industry leader Nvidia provide Humain, a sovereign wealth fund-owned AI startup, with 18,000 of its new GB300 Blackwell chips. The massive deal makes Saudi Arabia a potential leader in AI data centers within the region and offers the opportunity to become a high-tech economic powerhouse.The deal comes as a reversal of former-president Biden’s policy that limited the spread of advanced AI chips out of fears of unchecked AI diffusion. 

    The AI market of Saudi Arabia remains unregulated in its nascency, with the authorities preferring a laissez-faire approach. Saudi Arabia has yet to pass any legislation or regulations that limit the use of AI in an effort to attract investment in its burgeoning AI economy. Instead, the country merely issued unenforceable guidelines on the topic. This, in turn, does far too little to protect citizens’ privacy rights.

    The deal highlights ongoing concerns about the power of AI in the hands of authoritarians. Saudi Arabia is already known to use other digital technologies to spy on dissidents. This willingness to violate citizens’ privacy rights coupled with the possibility of a more robust understanding of AI, due to the new deal, offers Saudi authorities with more advanced means of spying on its citizens. 

    One such application of the technology comes in the form of facial recognition technologies. The technology allows for AI to determine an individual’s identity by simultaneously scanning an individual’s face and comparing their features to others in a database. AI performs these actions much faster and efficiently than law enforcement officers can. This technology is already being used in cities throughout the world. A greater familiarity with the technology would allow Saudi authorities to not only identify individuals through surveillance cameras but also to use the technology to be used in the digital sphere to identify individuals through other means, such as social media posts.

    Saudi Arabia has proven through its pervasive surveillance of its own people that it is not a responsible actor and should not be allowed access to cutting-edge AI chips. The authorities refuse to regulate the market in an effort to attract investment into its AI market; a gamble that has apparently worked given the new US-Saudi partnership. Without proper regulations, Saudi authorities will undoubtedly use their country’s advancing  expertise with the technology as a means of further suppressing dissent and violating the privacy of its citizens. 

  • AI Is Reshaping Activism 

    AI Is Reshaping Activism 

    Recently, the discourse surrounding the ethics of AI has become a major topic of contention across almost every digital rights platform. Amongst these professionals there is a clear consensus that AI is transforming how activists engage with dissent and how states may choose to weaponize this to suppress them. At the core of this discussion lies a deep ethical conflict: AI’s promise of progress is inseparable from its potential for control. This blog will briefly explore these discussions and find potential solutions to better protect civil liberties.

    AI as an Ally: Tools for Resistance

    Despite the influx of bad press given to AI, Human rights organizations have boasted great success with AI integration into building cases against perpetrators. For example, many now use machine learning to analyze satellite imagery and detect evidence of war crimes or environmental destruction, as seen in projects such as Amnesty International’s Decoders who had enlisted thousands of digital volunteers and AI-assisted platforms to document abuses in countries like Syria, South Sudan, and the Niger Delta. However, this project appears to be inactive at the time of writing this blog for undisclosed reasons, leading to questions surrounding its effectiveness. 

    More recently,  we have seen the success of investigative outlets such as Bellingcat leverage AI tools to geolocate videos from conflict zones and verify open-source intelligence, which can disseminate faster than traditional media. Additionally,  alternative platforms have been created as a form of digital protections from more localised versions of digital exploitation, there are legal tech platforms like DoNotPay that use AI chatbots to help users challenge fines, contest evictions, or navigate complex immigration processes.

     In more practical terms, AI can even offer physical protection, with tools and research developments such as CV Dazzle and Fawkes helping activists mask their identities in photos, by scrambling facial recognition software. This allows activists the freedom to protest whilst protecting their identity. 

    In this light, AI enhances activism and provides a revolutionary means to mobilise and extend human agency. These technologies have enabled these organizations to extend their reach and capabilities beyond traditional methods, allowing activists to mobilise quicker and more effectively. However, these softwares are not without their risks or limitations. 

    AI as a Threat: Automating Repression

    In contrast to the developments listed above, AI is as equally adept at serving authoritarian interests. Around the world, governments are deploying facial recognition, predictive policing, and surveillance algorithms to monitor and neutralize dissent. A catalyst for this discussion is  China’s use of surveillance tools in Xinjiang, for example, the use of AI-powered tools to track Uyghur Muslims in real time, profiling individuals based on everything from facial expressions to smartphone metadata, as reported by Human Rights Watch.

    A particular software that is mentioned frequently on our site is AI-enabled spyware like Pegasus has been deployed against journalists and human rights defenders, with reports from Citizen Lab detailing zero-click hacks that turn phones into surveillance devices without users even clicking a link. These tools give state actors the power to eavesdrop on private conversations, track movement, and preemptively disrupt organizing efforts. As described in our blog posts, this has led to severe psychological harm against activists in the Middle East.

    Even supposedly neutral content moderation systems, run by major platforms like Facebook and YouTube, are far from impartial. Automated moderation tools routinely misidentify activist content, particularly from the Global South; as harmful or extremist. Reports from organizations such as Access Now and Article 19 show that algorithms often suppress protest videos, testimonies of abuse, or political speech, especially when expressed in non-Western languages or dialects. This isn’t simply a flaw in execution, it’s a structural problem. AI systems reflect the biases embedded in their data and development. From  algorithms that discriminate against women to facial recognition systems that perform poorly on darker skin tones, these technologies routinely reinforce systemic inequality rather than correcting it.

    Regulating the Future

    As AI continues to evolve, it is imperative that we also evolve our approach to governance and accountability. There are a  number of early frameworks like the UNESCO Recommendation on the Ethics of AI and the EU AI Act are promising first steps, aiming to set limits on surveillance technologies and mandate transparency. But these regulations remain disproportionate, with few enforcement mechanisms and limited global reach.

    Meanwhile, activists, technologists, and researchers are pushing back. There has been an influx of Civil society groups and NGOs calling for bans on facial recognition in public spaces, advocating for open-source audit tools, and demanding algorithmic transparency from Big Tech. The movement for “AI for Social Good” is growing, but it must continue to advocate to protect our civil liberties. 

    Conclusion: The Fight Is Still Human

    AI will not liberate us or oppress us on its own. It is simply a tool shaped by the intentions, interests, and ethics of those who use it. For every protest it helps organize, there may be another it helps suppress. The real battle is not between humans and machines, but between justice and control. The future of protest, and the right to dissent, depends on how we navigate this.