The Rise of Trust Brokers | Sustainable Development Summit 2020

TL;DR

Data intermediaries can enhance trust and simplify data management, benefiting from AI and machine learning.

Transcript

is more and more data is collected and exchanged about us to the point where it becomes almost unmanageable has the moment come to enlist trusted third parties by default to navigate our data ecosystems trust is key to fully realizing benefits of technology including using technology to meet the sdgs but use of this technology relies on access to d... Read More

Key Insights

• 🥳 Data ecosystems have become unmanageable, necessitating trusted third parties for secure data management.
• 👤 Models like data trusts and user agents aim to simplify data management and enhance trust for data sharing.
• 💱 Ensuring transparency, trust, and auditability are essential for data intermediaries to provide secure data exchanges.
• 😮 Governments play a crucial role in legal clarity and regulation to support the rise of data intermediaries.
• 🏛️ AI and machine learning can enhance data management but require transparency and safeguards to build trust.
• 🧑‍🏭 Contractual, technical, and reputational trust factors are essential for maintaining trust in data exchanges.
• 🪡 Concerns about algorithmic bias and data misuse highlight the need for robust data protection measures in data intermediaries.

Questions & Answers

Q: How have data ecosystems become too complex for individuals to manage data consent effectively?

Data ecosystems have expanded with numerous relationships, making it difficult for individuals to track and manage data sharing effectively, leading to the need for trusted third parties for assistance.

Q: What are some models proposed to simplify data management and enhance trust, besides individual data consent?

Models like data trusts and user agents aim to simplify data management by creating trusted third parties to manage data on behalf of individuals, rebalancing power dynamics, and enabling transparent data sharing for public good.

Q: How can data trusts ensure data providers maintain control over their data while facilitating secure data exchanges?

Data trusts empower data providers to manage and control access to their data, enforcing rules and allowing customization of data usage, thereby ensuring transparency and trust within data exchanges.

Q: What measures can be taken to ensure fairness and equitable access to sensitive data, particularly in the health space?

Implementing two-tiered consent models for sensitive data like genomic data can enable broad data usage by researchers while maintaining privacy and allowing individuals to consent to specific data uses like clinical trials, ensuring fairness and trust.

Summary & Key Takeaways

• Data ecosystems have become unmanageable for individuals, leading to the need for trusted third parties to navigate data sharing effectively.

• Models such as data trusts and user agents aim to simplify data management for consumers and rebalance power dynamics.

• Ensuring trust, transparency, and auditability are crucial for data intermediaries to provide secure data exchanges.