Ethics & Policy
Apple’s AI ethics doubted by shareholder proposal

Apple could be forced to detail more of its AI activity, after a proposal asks shareholders to expose whether Apple is truly working ethically in the field when training Apple Intelligence.
As a company well known for its stance on user privacy and security, Apple knows it has to be above board when it comes to hot-button topics. With the rise of AI and the potential for abuse, it could end up being tested by shareholders.
In a Securities and Exchange Commission filing, the National Legal and Policy Center has proposed an item on the 2025 Proxy Ballot. The proposal is to be voted on by shareholders as part of Apple’s Annual Shareholder Meeting, taking place on February 25.
The filing discusses Proposal 4 on the ballot, titled “Report on Ethical AI Data Acquisition and Usage.” It is to request that Apple prepare a report “omitting proprietary or legally privileged information” on the risks of AI development.
Specifically, it is a report to “assess the risks to the Company’s operations and finances, and to the greater public health, safety and welfare, presented by Apple’s unethical or improper usage of external data in the development and training of its artificial intelligence projects and implementation,” reads the filing.
It also has to state what steps Apple has taken to mitigate the risks, and how to measure the effectiveness of those steps.
The report is to be published within a year of the meeting, and to be updated on an annual basis. That is, if shareholders vote for it.
Questionable activity
The NLPC’s filing starts off by highlighting the public awareness of AI and data ethics, including how data is obtained to train models. This includes “data scraping, unauthorized collection, and the use of proprietary or copyrighted content without permission,” which some companies have already been accused of.
Due to the risks involved, and to “increase shareholder value,” the NLPC insists Apple should improve its disclosure of strategies for the ethical usage of user data in AI development.
“This report seeks to encourage Apple to adopt a more ambitious pro-privacy stance, which may provide the Company a strong competitive advantage,” the NLPC insists.
One early factor pointed out by the NLPC is how Apple was offered a special seat on OpenAI’s board, which was dropped “after antitrust concerns were raised.” With OpenAI accused of unethical data collection practices, Apple’s association with the company raises further issues.
Though Apple has protected user privacy in the past to “great success,” the filing adds that the “monetization potential of its massive userbase is too high to pass up.”
Apple’s longstanding partnership with Alphabet on search is mentioned, including how it is an opportunity for Alphabet to collect “massive amounts of data on Apple users.” Apple also apparently “explored a partnership with Meta,” which the NLPC deems “another serial privacy violator.”
“In effect, Apple has outsourced its unethical activities to Alphabet while collecting substantial sums in the process,” the report claims.
Apple’s own algorithms are kept secret, and the lack of transparency on their workings “poses significant ethical risks,” it continues. “It raises fundamental questions about accountability, trust, and fairness.”
Avoidable doubts
While the proposal is pretty damning, the attack on Apple’s AI work and its quite opaque policies may not go that far beyond the filing.
As well as taking proposals for items to be included in the shareholder ballot, Apple also advises which way shareholders should vote. In this case, Apple is likely to advise against the measure.
Since shareholders tend to follow along the lines of Apple’s recommendations, it’s more than likely that the proposal won’t be approved at all.
That said, the general thrust of the filing may still be felt by Apple, as it continues to keep itself operating as ethically as possible.
For example, while it prefers on-device processing that doesn’t feed back user data, it does still rely on cloud servers for some queries. In that instance, Private Cloud Compute is produced to be as private as possible, with Apple unable to access user queries through the extensive use of encryption.
Apple has also tried to answer the problem of copyrighted data collection, by seeking out archives and requesting to pay for access. By contrast, other tech companies have been sued for allegedly scraping accessible data without much thought to copyright.
The proposal may not result in a new AI ethics report, but it could help intimidate Apple into keeping on the straight and narrow in this emerging field.
Ethics & Policy
Navigating the Investment Implications of Regulatory and Reputational Challenges

The generative AI industry, once hailed as a beacon of innovation, now faces a storm of regulatory scrutiny and reputational crises. For investors, the stakes are clear: companies like Meta, Microsoft, and Google must navigate a rapidly evolving legal landscape while balancing ethical obligations with profitability. This article examines how regulatory and reputational risks are reshaping the investment calculus for AI leaders, with a focus on Meta’s struggles and the contrasting strategies of its competitors.
The Regulatory Tightrope
In 2025, generative AI platforms are under unprecedented scrutiny. A Senate investigation led by Senator Josh Hawley (R-MO) is probing whether Meta’s AI systems enabled harmful interactions with children, including romantic roleplay and the dissemination of false medical advice [1]. Leaked internal documents revealed policies inconsistent with Meta’s public commitments, prompting lawmakers to demand transparency and documentation [1]. These revelations have not only intensified federal oversight but also spurred state-level action. Illinois and Nevada, for instance, have introduced legislation to regulate AI mental health bots, signaling a broader trend toward localized governance [2].
At the federal level, bipartisan efforts are gaining momentum. The AI Accountability and Personal Data Protection Act, introduced by Hawley and Richard Blumenthal, seeks to establish legal remedies for data misuse, while the No Adversarial AI Act aims to block foreign AI models from U.S. agencies [1]. These measures reflect a growing consensus that AI governance must extend beyond corporate responsibility to include enforceable legal frameworks.
Reputational Fallout and Legal Precedents
Meta’s reputational risks have been compounded by high-profile lawsuits. A Florida case involving a 14-year-old’s suicide linked to a Character.AI bot survived a First Amendment dismissal attempt, setting a dangerous precedent for liability [2]. Critics argue that AI chatbots failing to disclose their non-human nature or providing false medical advice erode public trust [4]. Consumer advocacy groups and digital rights organizations have amplified these concerns, pressuring companies to adopt ethical AI frameworks [3].
Meanwhile, Microsoft and Google have faced their own challenges. A bipartisan coalition of U.S. attorneys general has warned tech giants to address AI risks to children, with Meta’s alleged failures drawing particular criticism [1]. Google’s decision to shift data-labeling work away from Scale AI—after Meta’s $14.8 billion investment in the firm—highlights the competitive and regulatory tensions reshaping the industry [2]. Microsoft and OpenAI are also reevaluating their ties to Scale AI, underscoring the fragility of partnerships in a climate of mistrust [4].
Financial Implications: Capital Expenditures and Stock Volatility
Meta’s aggressive AI strategy has come at a cost. The company’s projected 2025 AI infrastructure spending ($66–72 billion) far exceeds Microsoft’s $80 billion capex for data centers, yet Meta’s stock has shown greater volatility, dropping -2.1% amid regulatory pressures [2]. Antitrust lawsuits threatening to force the divestiture of Instagram or WhatsApp add further uncertainty [5]. In contrast, Microsoft’s stock has demonstrated stability, with a lower average post-earnings drawdown of 8% compared to Meta’s 12% [2]. Microsoft’s focus on enterprise AI and Azure’s record $75 billion annual revenue has insulated it from some of the reputational turbulence facing Meta [1].
Despite Meta’s 78% earnings forecast hit rate (vs. Microsoft’s 69%), its high-risk, high-reward approach raises questions about long-term sustainability. For instance, Meta’s Reality Labs segment, which includes AI-driven projects, has driven 38% year-over-year EPS growth but also contributed to reorganizations and attrition [6]. Investors must weigh these factors against Microsoft’s diversified business model and strategic investments, such as its $13 billion stake in OpenAI [3].
Investment Implications: Balancing Innovation and Compliance
The AI industry’s future hinges on companies’ ability to align innovation with ethical and legal standards. For Meta, the path forward requires addressing Senate inquiries, mitigating reputational damage, and proving that its AI systems prioritize user safety over engagement metrics [4]. Competitors like Microsoft and Google may gain an edge by adopting transparent governance models and leveraging state-level regulatory trends to their advantage [1].
Conclusion
As AI ethics and legal risks dominate headlines, investors must scrutinize how companies navigate these challenges. Meta’s struggles highlight the perils of prioritizing growth over governance, while Microsoft’s stability underscores the value of a measured, enterprise-focused approach. For now, the AI landscape remains a high-stakes game of regulatory chess, where the winners will be those who balance innovation with accountability.
Source:
[1] Meta Platforms Inc.’s AI Policies Under Investigation and [https://www.mintz.com/insights-center/viewpoints/54731/2025-08-22-meta-platforms-incs-ai-policies-under-investigation-and]
[2] The AI Therapy Bubble: How Regulation and Reputational [https://www.ainvest.com/news/ai-therapy-bubble-regulation-reputational-risks-reshaping-mental-health-tech-market-2508/]
[3] Breaking down generative AI risks and mitigation options [https://www.wolterskluwer.com/en/expert-insights/breaking-down-generative-ai-risks-mitigation-options]
[4] Experts React to Reuters Reports on Meta’s AI Chatbot [https://techpolicy.press/experts-react-to-reuters-reports-on-metas-ai-chatbot-policies]
[5] AI Compliance: Meaning, Regulations, Challenges [https://www.scrut.io/post/ai-compliance]
[6] Meta’s AI Ambitions: Talent Volatility and Strategic Reorganization—A Double-Edged Sword for Investors [https://www.ainvest.com/news/meta-ai-ambitions-talent-volatility-strategic-reorganization-double-edged-sword-investors-2508/]
Ethics & Policy
7 Life-Changing Books Recommended by Catriona Wallace | Books

7 Life-Changing Books Recommended by Catriona Wallace (Picture Credit – Instagram)
Some books ignite something immediate. Others change you quietly, over time. For Dr Catriona Wallace—tech entrepreneur, AI ethics advocate, and one of Australia’s most influential business leaders, books are more than just ideas on paper. They are frameworks, provocations, and spiritual companions. Her reading list offers not just guidance for navigating leadership and technology, but for embracing identity, power, and inner purpose. These seven titles reflect a mind shaped by disruption, ethics, feminism, and wisdom. They are not trend-driven. They are transformational.
1. Lean In by Sheryl Sandberg
A landmark in feminist career literature, Lean In challenges women to pursue their ambitions while confronting the structural and cultural forces that hold them back. Sandberg uses her own journey at Facebook and Google to dissect gender inequality in leadership. The book is part memoir, part manifesto, and remains divisive for valid reasons. But Wallace cites it as essential for starting difficult conversations about workplace dynamics and ambition. It asks, simply: what would you do if you weren’t afraid?

2. Women and Power: A Manifesto by Mary Beard
In this sharp, incisive book, classicist Mary Beard examines the historical exclusion of women from power and public voice. From Medusa to misogynistic memes, Beard exposes how narratives built around silence and suppression persist today. The writing is fiery, brief, and packed with centuries of insight. Wallace recommends it for its ability to distil complex ideas into cultural clarity. It’s a reminder that power is not just a seat at the table; it is a script we are still rewriting.
3. The World of Numbers by Adam Spencer
A celebration of mathematics as storytelling, this book blends fun facts, puzzles, and history to reveal how numbers shape everything from music to human behaviour. Spencer, a comedian and maths lover, makes the subject inviting rather than intimidating. Wallace credits this book with sparking new curiosity about logic, data, and systems thinking. It’s not just for mathematicians. It’s for anyone ready to appreciate the beauty of patterns and the thinking habits that come with them.
4. Small Giants by Bo Burlingham
This book is a love letter to companies that chose to be great instead of big. Burlingham profiles fourteen businesses that opted for soul, purpose, and community over rapid growth. For Wallace, who has founded multiple mission-driven companies, this book affirms that success is not about scale. It is about integrity. Each story is a blueprint for building something meaningful, resilient, and values-aligned. It is a must-read for anyone tired of hustle culture and hungry for depth.
5. The Misogynist Factory by Alison Phipps
A searing academic work on the production of misogyny in modern institutions. Phipps connects the dots between sexual violence, neoliberalism, and resistance movements in a way that is as rigorous as it is radical. Wallace recommends this book for its clear-eyed confrontation of how systemic inequality persists beneath performative gestures. It equips readers with language to understand how power moves, morphs, and resists change. This is not light reading. It is a necessary reading for anyone seeking to challenge structural harm.
6. Tribes by Seth Godin
Godin’s central idea is simple but powerful: people don’t follow brands, they follow leaders who connect with them emotionally and intellectually. This book blends marketing, leadership, and human psychology to show how movements begin. Wallace highlights ‘Tribes’ as essential reading for purpose-driven founders and changemakers. It reminds readers that real influence is built on trust and shared values. Whether you’re leading a company or a cause, it’s a call to speak boldly and build your own tribe.
7. The Tibetan Book of Living and Dying by Sogyal Rinpoche
Equal parts spiritual guide and philosophical reflection, this book weaves Tibetan Buddhist teachings with Western perspectives on mortality, grief, and rebirth. Wallace turns to it not only for personal growth but also for grounding ethical decision-making in a deeper sense of purpose. It’s a book that speaks to those navigating endings—personal, spiritual, or professional and offers a path toward clarity and compassion. It does not offer answers. It offers presence, which is often far more powerful.

The books that shape us are often those that disrupt us first. Catriona Wallace’s list is not filled with comfort reads. It’s made of hard questions, structural truths, and radical shifts in thinking. From feminist manifestos to Buddhist reflections, from purpose-led business to systemic critique, this bookshelf is a mirror of her own leadership—decisive, curious, and grounded in values. If you’re building something bold or seeking language for change, there’s a good chance one of these books will meet you where you are and carry you further than you expected.
Ethics & Policy
Hyderabad: Dr. Pritam Singh Foundation hosts AI and ethics round table at Tech Mahindra

The Dr. Pritam Singh Foundation and IILM University hosted a Round Table on “Human at Core: AI, Ethics, and the Future” in Hyderabad. Leaders and academics discussed leveraging AI for inclusive growth while maintaining ethics, inclusivity, and human-centric technology.
Published Date – 30 August 2025, 12:57 PM
Hyderabad: The Dr. Pritam Singh Foundation, in collaboration with IILM University, hosted a high-level Round Table Discussion on “Human at Core: AI, Ethics, and the Future” at Tech Mahindra, Cyberabad.
The event, held in memory of the late Dr. Pritam Singh, pioneering academic, visionary leader, and architect of transformative management education in India, brought together policymakers, business leaders, and academics to explore how India can harness artificial intelligence (AI) while safeguarding ethics, inclusivity, and human values.
In his keynote address, Padmanabhaiah Kantipudi, IAS (Retd.), Chairman of the Administrative Staff College of India (ASCI),
paid tribute to Dr. Pritam Singh, describing him as a nation-builder who bridged academia, business, and governance.
The Round Table theme, Leadership: AI, Ethics, and the Future, underscored India’s opportunity to leverage AI for inclusive growth across healthcare, agriculture, education, and fintech—while ensuring technology remains human-centric and trustworthy.
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