Data is a currency - spend it wisely! | Stefanie Babka | TEDxFrankfurt

Data as a Valuable Currency

Stefanie Babka argues that data should be treated as a valuable currency. People routinely exchange it for services, convenience, personalization, and other benefits—often without considering the consequences.

The “Bring Your Own AI” Scenario

The talk opens with a staged exchange involving “Jake,” an AI assistant brought into the workplace by an employee. Jake has accessed calendars and gathered personal details about the audience from public online sources.

The scene illustrates the risks of employees bringing their own AI tools (“bring your own AI”) when an organization has not supplied or approved them. The fact that information is publicly available does not automatically make it appropriate to collect or analyze. Privacy, consent, law, and ethics still matter.

Babka cites a figure that 75% of knowledge workers use AI at work, sometimes without company-provided tools.

Key Ideas

Data Is Exchanged for Value

People give up data when signing up for newsletters, using search engines or free apps, redeeming store vouchers, or using customer cards. In return, they may receive discounts, recommendations, or more relevant services. Targeted advertising also turns data into commercial value.

Data Literacy Supports Informed Choices

Babka says that both excessive fear of data and careless sharing can result from a lack of understanding. Data literacy includes the ability to access, interpret, communicate, and reason about data. AI literacy builds on these skills.

Build a “Brave Data Culture”

Babka describes a “brave data culture” through three elements:

• Head: Develop data and AI skills.
• Heart: Adopt a mindset that is both data-driven and responsible.
• Herd: Agree on shared beliefs and behaviors around data and AI.

Culture, she argues, is built through everyday choices—not simply imposed by policy or purchased from a vendor.

Data Sharing Can Create Public Benefits

Location data helps Google Maps estimate traffic, while user contributions can improve services such as maps, Amazon recommendations, and Wikipedia. Babka also points to Estonia’s automated public services as an example of data enabling easier access to benefits, contrasting them with the bureaucracy she experienced in Germany.

Trust and Responsibility Are Essential

Data can be protected through security technology, laws, and procedures, but Babka emphasizes that the mindset of the people handling it is crucial.

Sharing sensitive health data may help identify patterns, such as possible links between cases of non-Hodgkin lymphoma and environmental factors. Such use requires trust and public discussion about what is appropriate.

Human Judgment Still Matters

Babka describes AI as augmented intelligence that should be balanced with human intelligence, especially when making ethical decisions. Data and AI literacy are ongoing learning processes, not one-time training.

Practical Takeaway

Babka encourages people to pay closer attention to privacy notices and data permissions, and to discuss both the potential benefits and risks of data and AI.

Main Speakers and Source

• Stefanie Babka: Speaker
• “Jake”: A staged AI character in the opening example