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Technology
16 April 2025

Experts Raise Concerns Over Humanoid Robots And AI Privacy

At InnoEX 2025, industry leaders discuss ethical implications and the future of AI technologies.

On April 16, 2025, industry experts gathered at the InnoEX 2025 conference to address the growing interest in humanoid robots, raising critical questions about their practicality, privacy risks, and ethical implications. This event highlighted the increasing presence of humanoid robots in various sectors, yet experts expressed concerns about their real-world applications and the potential dangers they pose to user data.

As humanoid robots become more integrated into daily life, the need for clearer regulations to safeguard user data has become paramount. Experts argue that while the technology holds promise, it also raises significant ethical questions that society must navigate. Key discussions at the conference revolved around how to balance innovation with the protection of individual privacy.

In a parallel development, Apple announced its plan to enhance its AI capabilities by utilizing synthetic data in the form of made-up emails. This strategy aims to improve the suggestions made by its chatbots, specifically within the Apple Intelligence framework. The tech giant has opted for a more privacy-conscious approach compared to competitors like Meta, which recently stated it would resume training its AI models on user-generated content in Europe unless users actively opt out.

Apple's initiative involves the use of an undisclosed large language model to generate synthetic email messages that mimic real user data without actually containing any personal information. For instance, an example message generated by this model is: “Would you like to play tennis tomorrow at 11:30AM?” By creating variations of such messages, Apple can train its AI systems while maintaining user privacy.

According to Apple, "Synthetic data are created to mimic the format and important properties of user data, but do not contain any actual user generated content." This method allows Apple to improve its AI models for summarization tasks while ensuring that no sensitive user information is collected. The company employs a technique known as differential privacy, which enables it to compare synthetic data embeddings to those derived from actual emails of users who have opted into Device Analytics.

While Apple's approach has been praised for its commitment to customer privacy, it has also faced scrutiny. The company was recently sued for allegedly exaggerating its AI capabilities, raising questions about whether its AI can compete effectively in a rapidly evolving market. Anecdotal evidence suggests that there is still room for improvement in Apple's AI offerings.

Despite the challenges, Apple's use of synthetic data represents a significant step forward in the tech industry, as it navigates the fine line between innovation and ethical responsibility. The advantages of synthetic data include its ability to protect user privacy, as it is highly unlikely that a model trained on invented information will generate valid personal data.

However, experts caution that synthetic data is not without its drawbacks. Potential biases, inaccuracies, and incompleteness are inherent risks that could impact model performance. The ongoing debate surrounding the ethical implications of using synthetic data raises important questions about the future of AI development.

As the technology landscape continues to evolve, the discussions at InnoEX 2025 and Apple's latest initiatives underscore the pressing need for a comprehensive framework to address privacy concerns and ethical considerations in AI and robotics. Industry leaders are calling for collaborative efforts to establish guidelines that not only foster innovation but also prioritize the protection of individual rights.

In the broader context of the tech industry, the challenges faced by companies like Apple are not unique. With the rise of AI technologies, there is an urgent need for regulations that can keep pace with the rapid advancements in the field. Policymakers are being urged to take a proactive approach in developing frameworks that address the ethical implications of AI and robotics.

As we look toward the future, the intersection of technology, privacy, and ethics will continue to be a focal point of discussion. The insights shared at InnoEX 2025 and Apple's commitment to privacy through synthetic data highlight the critical need for ongoing dialogue among industry stakeholders, policymakers, and consumers.

Ultimately, the success of humanoid robots and AI technologies will depend on our ability to navigate these complex issues thoughtfully. The path forward requires a careful balance between harnessing the potential of innovation and safeguarding the rights and privacy of individuals.