Mobile Privacy and Analytics

Unlocking the huge potential of big data analytics in a way that respects privacy principles and fosters an environment of trust is key to the success of any Mobile Big Data project.

Key data privacy principles addressing subjects such as personal data, accountability, and security form an integral part of implementing Big Data solutions. Supporting practical dialogue between public and private sector players in the delivery of AI for Impact, the Mobile Privacy and Big Data Analytics: Big Data for Social Good Considerations paper outlines some core considerations to think about when engaging in big data analytics activities for social good. Mobile operators are determined to help realise the economic and societal benefits of big data analytics through good digital responsibility practices, to help public agencies and NGOs tackle infectious diseases, disasters, environmental impacts and climate change.

Additionally, while AI presents ground-breaking opportunities for individuals and businesses across the digital ecosystem, it also presents challenges, including questions about responsible and trustworthy use of data. The GSMA AI4I team recognises that ‘Trustworthy AI’ grounded in the right frameworks and principles, designed and deployed in a manner consistent with international human rights conventions, and supported through research, training and education, can lead to benefits for society and the global economy.

The AI for Impact: AI Ethics Principles Paper provides principles that, when applied alongside existing laws, regulations, and privacy principles such as the GSMA Mobile Privacy Principles, can help mitigate ethics and privacy risks associated with the use of AI for social good.

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