Articles by Iga Pilewska
Government contact-tracing apps: in tech (vendors) we trust?
Since COVID-19 hit, numerous government-sponsored contact-tracing apps have launched to help stem its spread, but low take-up threatens their survival. As people’s trust in their politicians takes a dive, might other technology options signal a shift in…
Balanced mobile data initiatives are vital in the COVID-19 fight
Governments need real-time data to help prevent the spread of the coronavirus, but may baulk at longer-term privacy battles. Workable options are possible, but officials must act now to enact them.
Meaning is everything: the problem of defining ethics for AI algorithms
Developing AI algorithms without strict definitions could create ethical problems for financial firms. To avoid mishandling their algorithms and potentially harming certain customer groups, firms must ensure their AI tools are no broader than the…
What price privacy as the value of transaction data soars?
Thanks to a booming payments market, the amount of transaction data is growing – as is its value. But regulation around it is patchy at best, and as more transaction data is used to feed models and analysis, more transparency and clarification around its…
All in a name: why ‘private blockchains’ weaken the blockchain case
Many projects labeled ‘private blockchains’ are merely database hygiene or ‘permissioned DLT’ solutions given a more marketing-friendly moniker. But increasing misuse of the term ‘private blockchain’ could create confusion in the market and undermine a…
For growing FinTechs, risk technology will be a must to appease tougher regulators
In striving for growth, many FinTech firms enter different markets with solutions that use the same underlying technology. As highlighted by recent AML-related issues, however, this technology is seldom regulation-friendly. To withstand deeper inbound…
Regulators need a robust taxonomy of tools before tackling AI
Regulating AI is a challenge that must and will be faced. Central to effective regulation will be a robust, accurate taxonomy of the multiplicity of available AI techniques.