- #digital identity
- #facial recognition
- #fingerprint recognition
- #iris recognition
- #online elections
- #voice recognition
To train a viable AI model, you need data. Lots of it. But what do you do if there just isn't enough? Simple: you make some up. Or, to put it in fancier terms, you “generate synthetic data”.
If you want to become a criminal investigator or wonder what a real crime scene looks like, let this article be your reality check.
Inside the Innovatrics forensic lab, you will find a mix of high-tech fingerprint gadgets and traditional brushes and powders for lifting fingerprints.
Deceased people still registered to vote, bad ballot design or even honest mistakes can raise eyebrows about the integrity of elections. Even more so in these times, when it has become easy to enrage the masses into believing the system is crooked – as we saw in the US after the 2020 presidential elections, when […]
Contributor Imagine being in charge of building a list of all eligible voters in your home country from scratch – a task crucial for preserving democracy. Yet there is almost no starting point of reference because the citizen registry is incomplete and riddled with duplicates, minors or deceased people. You and your team opt for […]
Today, the main risk of using biometrics is not inaccuracy, but ensuring the protection of sensitive personal data. Any potential intrusion of privacy, real or perceived, risks the reputation of the companies using the technology, and has the potential to seriously damage customer trust.
Data ethicist Juraj Podroužek: “I think it’s correct to have some red lines that set out areas where AI should not venture.”
Technologies are not value-neutral; they are imbued with the values of their creators. How can the ethical values that society deem important be reflected in technologies?
A new report shows that in 2020, of all potential customers willing to open a bank account remotely, almost two in every three abandoned the onboarding process – a sharp increase compared to previous years.
Nonstop innovation has shaped the way we think about banking and finance in the last decades, but also influenced how we perceive trust and technology.