Ethical AI

As the widespread adoption of spatial technologies becomes a reality and the integration of artificial intelligence (AI) continues to become a daily experience at home and in the workplace, digital privacy concerns must be addressed to support the ethical and safe use to individuals and businesses.

Collecting personal data through social media platforms, search engines, and online marketplaces has been used for several years to target commercial and political agendas. It has also been monetized and often used harmfully by criminal enterprises. This led to creating industry data protection and system security controls, best practices, and supporting data privacy legislation. This supported the safe design and use of technology in the secure collection, storage, processing, and destruction of individual digital data.

Spatial Computing, AI, and Your Data Privacy

However, spatial computing and AI’s rapid development and evolution of spatial computing and AI presents new challenges as best practices and security frameworks evolve and legislation bodies play catch-up. The use of AI presents an increased data privacy concern just because of the vast amounts of data collected by application algorithms.

By its human-centric design, spatial computing collects biometric data to help shape and improve the use of immersive platforms. This is achieved by collating data about the human body’s response while using devices. For example, eye and facial movements, emotional responses, heart rate, fingerprint, skin responses, and training.

The integration of AI introduces increased risk by using the data to profile the individual further. For example, facial recognition analysis could determine race and gender. The misuse of emotional, and behavioral analytics is in its early stages. When combined with other health data sources and using AI, it can be used to identify an individual or group based on various protected categories of information. This could be used to discriminate or target messaging.

Spatial Computing, AI, and Location Data

Spatial computing also uses physical location data using GPS to map out its digital experience physically. This includes the collection, for example, of IP addresses, timestamps, mobile ad ID, longitude, latitude, and elevation, and without the informed consent of users, can have serious ethical concerns. A person’s home and work address can be identified by creating a geographical footprint. Then, with the application of AI, predictive analysis could be made about an individual’s movements using general travel, and if obtained by criminals, it could cause serious harm.

There is the prevalent risk that a person’s digital footprint and online behavior are used to monetize and support the placement of products; as the use of spatial computing grows beyond gaming and is adopted for other uses, including the workplace, this will also face the same targeting. The application of AI to this data will create a detailed analysis of various online behaviors and targeting services or experiences based on decisions that can’t be explained.

Spatial Computing, AI, and Ethical Considerations

Adopting spatial technology and developing artificial intelligence (AI) has significantly transformed how organizations and individuals interact with data and intensified digital privacy concerns.

Adéle Tredoux, Head of GRC & DPO (IEEE CertifAIEd AI Ethics Assessor) at Resonance Labs said, “AI Ethics is the way of living with autonomous intelligent systems, and therefore it is important that we incorporate the four pillars of the Ethical AI IEEE CertifAIEd framework into everything we design & create, We aim to be accountable and transparent on how we process data, ensuring our products are human-centric, avoiding harmful bias and respecting individual’s data privacy rights.”

It is essential to balance the benefits of AI and spatial technology and to safeguard individuals’ privacy rights. As technology continues to evolve, data protection laws will grow. In December 2023, the EU became the first continent to set clear (provisional) rules for using AI. With the EU AI Act, the EU seeks to create a far-reaching and comprehensive legal framework for regulating AI systems to ensure that AI systems are safe & respect the fundamental rights and EU values.

What’s Next?

Parliament and Council are expected to formally adopt the text to become EU law in early 2024. However, in the meantime, existing data protection controls should still be adopted.

The journey of spatial computing is intrinsically linked with AI, and implementing secure technology and platforms supported by the ethical and secure use of AI will ensure a safe experience for users, encourage adoption, and support the ethical use of data.

Ethical AI

Article written by Rachael Coull, COO (Resonance Labs) & CISO (Mesmerise Group).