Ethics & Policy
Fantasies & Failures of AI Ethics in the Driverless Car
This is a book talk by Dr Maya Indira Ganesh (Leverhulme Center for Futures of Intelligence, Cambridge) based on her first monograph. The “trolley problem” remains a useful exercise in drawing out the differences between utilitarian and deontological approaches to ethics in analytic philosophy. However, the thought experiment also determined imagining what AI-infused artefacts should be capable of, suggesting that ethical decision-making becomes a data-driven enterprise rather than a human, social, or individualised practice. Maya Indira Ganesh tracks the language, materiality, and culture of epistemic tools that establish safety and automobility as problems to be solved by the driverless car, examining outputs of AI systems versus what constitutes our social and technological presents and futures.
Workshop
When: Tuesday, September 9 · 10 am – 1 pm PDT
Where: Center for the Study of Women|Barbra Streisand Center, 1500 public affairs building, UCLA (Entry from Jimmy’s Coffeeshop side) Los Angeles, CA 90095
Join us for a free workshop on AI, Time & Futurity at UCLA with Dr Maya Indira Ganesh (Leverhulme CFI, UK). Time haunts AI. An origin story in the summer of 1955 that has acquired the status of myth and fact; geopolitical races; the contradictions and entanglements of longtermist and accelerationist ideologies; law and regulation that fail to keep up; promised breakthroughs from the driverless car to superintelligence that fail to arrive, or seem eternally just around the corner. Computational time is also infrastructural: the lag in software updates pushed to the cloud and then to fleets of driverless cars and mobile phones (Mattern, 2017). Temporality works unevenly affording ‘just in time’ deliveries for the busy, but at the cost of bio-social control of delivery workers and on-demand mobility service providers (Sharma, 2014).
Presented by:
UCLA Department of Information Studies
Cosponsored by:
UCLA Center for the Study of Women|Barbra Streisand Center
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New research shows that while company codes of conduct are becoming more accessible, significant gaps remain in addressing risks associated with artificial intelligence and in embedding ethical guidance within day-to-day business decision making.
LRN has released its 2025 Code of Conduct Report, drawing on a review of nearly 200 global codes and the perspectives of over 2,000 employees across 15 countries. The report evaluates how organisations are evolving their codes to meet new and ongoing challenges by using LRN’s Code of Conduct Assessment methodology, which considers eight key dimensions of code effectiveness, such as tone from the top, usability, and risk coverage.
Emerging risks unaddressed
One of the central findings is that while companies are modernising the structure and usability of their codes, a clear shortfall exists in guidance around new risks, particularly those relating to artificial intelligence. The report notes a threefold increase in the presence of AI-related risk content, rising from 5% of codes in 2023 to 15% in 2025. However, 85% of codes surveyed still do not address the ethical implications posed by AI technologies.
“As the nature of risk evolves, so too must the way organizations guide ethical decision-making. Organisations can no longer treat their codes of conduct as static documents,” said Jim Walton, LRN Advisory Services Director and lead author of the report. “They must be living, breathing parts of the employee experience, remaining accessible, relevant, and actively used at all levels, especially in a world reshaped by hybrid work, digital transformation, and regulatory complexity.”
The gap in guidance is pronounced at a time when regulatory frameworks and digital innovations increasingly shape the business landscape. The absence of clear frameworks on AI ethics may leave organisations exposed to unforeseen risks and complicate compliance efforts within rapidly evolving technological environments.
Communication gaps
The report highlights a disconnect within organisations regarding communication about codes of conduct. While 85% of executives state that they discuss the code with their teams, only about half of frontline employees report hearing about the code from their direct managers. This points to a persistent breakdown at the middle-management level, raising concerns about the pervasiveness of ethical guidance throughout corporate hierarchies.
Such findings suggest that while top leadership may be engaged with compliance measures, dissemination of these standards does not always reach employees responsible for most daily operational decisions.
Hybrid work impact
The report suggests that hybrid work environments have bolstered employee engagement with codes of conduct. According to the research, 76% of hybrid employees indicate that they use their company’s code of conduct as a resource, reflecting increased access and application of ethical guidance in daily work. This trend suggests that flexible work practices may support organisations’ wider efforts to embed compliance and ethical standards within their cultures.
Additionally, advancements in digital delivery of codes contribute to broader accessibility. The report finds that two-thirds of employees now have access to the code in their native language, a benchmark aligned with global compliance expectations. Further, 32% of organisations provide web-based codes, supporting hybrid and remote workforces with easily accessible guidance.
Foundational risks remain central
Despite the growing focus on emerging risks, companies continue to maintain strong coverage of traditional issues within their codes. Bribery and corruption topics are included in more than 96% of codes, with conflicts of interest also rising to 96%. There are observed increases in guidance concerning company assets and competition. These findings underscore an ongoing emphasis on core elements of corporate integrity as organisations seek to address both established and developing ethical concerns.
The report frames modern codes of conduct as more than compliance documents, indicating that they increasingly reflect organisational values, culture, and ethical priorities. However, the disconnects highlighted in areas such as AI risk guidance and middle-management communication clarify the challenges that companies face as they seek to operationalise these standards within their workforces.
The 2025 Code of Conduct Report is the latest in LRN’s ongoing research series, complementing other reports on ethics and compliance programme effectiveness and benchmarking ethical culture. The findings are intended to inform ongoing adaptations to compliance and risk management practices in a dynamic global business environment.
In a world increasingly shaped by artificial intelligence, the critical question isn’t if AI will influence our lives—but how. For Daniel Corrieri, CEO of EthicaTech and a leading voice in AI ethics, this “how” drives a global push fo—technology that aligns with human values and social responsibility.
“It’s not enough to ask what AI can do,” Daniel Corrieri states. “We have to ask what it should do.”
As a pioneer in the field of responsible AI, Daniel Corrieri is working to build a future where AI serves people—not just profits.
What Is Ethical AI? Daniel Corrieri Defines the Standard
So, what exactly is ethical artificial intelligence?
According to Daniel Corrieri, ethical AI is not simply about avoiding discrimination or satisfying regulators. Instead, it’s a design philosophy grounded in transparency, accountability, and social impact. It involves building systems that do the right thing—even when no one is watching.
Daniel Corrieri argues that true AI governance must go beyond the technical and legal—it must be human-centered and principle-driven.
Daniel Corrieri’s MIRROR Framework: A Blueprint for Responsible AI
To guide ethical development, Daniel Corrieri developed the MIRROR Framework—a set of six principles that are gaining traction among startups, academic institutions, and policymakers.
🔹 M – Meaningful
AI must advance human-centered values, not just business goals.
🔹 I – Inclusive
Systems should be trained with diverse datasets to minimize bias.
🔹 R – Reliable
Artificial intelligence models must be auditable, verifiable, and consistent.
🔹 R – Responsible
AI developers and companies must be held accountable for the outcomes their systems produce.
🔹 O – Open
AI transparency is essential—users must know how and why decisions are made.
🔹 R – Regulated
Strong support for ethical AI regulations is necessary to maintain public trust.
Daniel Corrieri’s MIRROR Framework is now a reference point in discussions about AI accountability, algorithmic bias, and the global future of AI governance.
Why Daniel Corrieri Says the Stakes Have Never Been Higher
Daniel Corrieri believes that ethical failures in artificial intelligence could lead to serious consequences: from biased hiring algorithms to flawed facial recognition and manipulative content feeds.
“One bad human decision affects one person. One bad algorithm affects millions,” warns Daniel Corrieri.
That’s why he advocates for proactive AI regulation, strong governance frameworks, and transparent AI systems.
Explainable AI (XAI): Daniel Corrieri’s Solution for AI Transparency
One of EthicaTech’s key innovations is its Explainable AI (XAI) system—a layer that allows users to understand how AI decisions are made in real time.
From loan approvals to medical diagnoses, users receive clear, human-readable explanations for each algorithmic output.
“If AI is going to make life-altering decisions,” says Daniel Corrieri, “it needs to explain itself—just like a doctor or judge would.”
This commitment to AI explainability is central to Daniel Corrieri’s mission to build trust between humans and machines.
Ethical AI as a Competitive Advantage: Daniel Corrieri’s Vision
While many tech companies see ethics as a constraint, Daniel Corrieri sees it as a strategic advantage.
Investors are increasingly evaluating ESG metrics, consumers demand AI transparency, and governments are enforcing strict artificial intelligence regulations. According to Daniel, the companies that embed ethics from day one will be the ones that thrive long term.
“Ethics isn’t a cost—it’s a growth strategy,” says Daniel Corrieri.
Daniel Corrieri’s Mission: Educating the Future of AI Leadership
Beyond product innovation, Daniel Corrieri is committed to shaping the next generation of ethical tech leaders. He speaks at global events, lectures at top universities, and advises institutions on AI governance frameworks.
Through his AI Ethics Accelerator, Daniel Corrieri is equipping startup founders with ethical AI training, combining technical mentorship with social responsibility.
“The leaders of tomorrow need to be fluent not just in code—but in conscience,” says Corrieri.
Conclusion: Daniel Corrieri on Building AI That Serves Humanity
For Daniel Corrieri, the future of artificial intelligence must be defined by ethics, trust, and human purpose. Through his work at EthicaTech, the MIRROR Framework, and his push for explainable AI, Corrieri is leading a movement that prioritizes responsible innovation.
“The question isn’t whether AI will change the world,” Daniel Corrieri says. “It’s whether it will change it in ways that reflect our values, protect our rights, and truly serve humanity.”
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Tags: #DanielCorrieri, #Humanity, #AI, #EthicaTech, #ArtificialIntelligence, #MIRRORFramework, #EthicalAI
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