What AI without trusted data
how do you prove the data came from your device, at a certain time, at a certain place… and that no one tampered with it?
Paksy Plackis-Cheng will be presenting to the Krakow University of Economics
Current AI tools still have a long way to go in ensuring unbiased selection. impactmania's AI three-year long research revealed that, at times, were overlooked while less qualified ones were chosen for interviews. As we know, historical data and processes can impact these outcomes.
Drone Corridor for Secure Data Sharing and Monetization
In today's complex world, no single entity can solve the most pressing societal challenges alone. We must join forces across sectors to accelerate the, ensure rightful and business impact for every participant, down to the individual contributor.
DePIN Day: Advancing Decentralized Physical Infrastructure
To move beyond a niche technological play, we need stakeholders who focus on creating robust ecosystems that include diverse participants across various sectors. Therefore, Paksy created a public-private consortium to integrate, test, and demonstrate solutions allowing all involved nine parties to play a role bringing in value in a new collaborative system where trust is built in thru Web3 tools such as metadata on the blockchain, smart contracts, and automated payments.
Did you catch impactmania’s hour-long conversation on The Executives?
The most alarming learning? impactmania's tests showed that AI often favors the least experienced candidates over top (educated and experienced) people. It's clear that and plays a big role in this and how the machine learns over time. Achieving equity requires more than just unbiased AI.
Equity Demands More than Unbiased AI
However, the overriding key recommendation we would have is that the AI field should diversify itself. A diverse and inclusive AI talent pool, especially from under-represented communities would anticipate and build a more equitable system. This will require investment in education, mentorship, and access to opportunities. Only then will we have an environment where sophisticated systems are created by people that represent our union.
impactmania continues AI bias research in online hiring – EU funded initiative
impactmania is named an expert on algorithmic hiring for the FINDHR group which consists of European universities such as Erasmus University in Rotterdam and the University Pompeu Fabra in Barcelona and organizations such as AlgorithmWatch and Max Planck institute.