An interview with Bulent Ozel, Co-founder and CEO of Lucidminds.
I got inspired by the big idea behind LucidMinds; hence I invited CEO Bulent Ozel to my podcast. We explore the challenges around creating solutions that are required to look 10, 20, or even 30 years into the future and the ways to overcome such challenges.
The thing that triggered me most from my interview with Bulent:
If we don’t look into how things are suggested, how AI has been developed, that can go out of control. The problem is how we can get humans involved in the process.
Agent-based simulation models can be an extremely useful tool for policy makers, in particular for predictive analytics, scenario analyses, and plausibility testing. Lucidminds.ai is at the forefront of making this happen.
Agent-based simulations can be used as a decision support tool for social and economic decision making — to improve data-driven, evidence-based, sensible, and prudent decision making. These simulations can be used as an exploratory tool to explore various policy scenarios in different environments, before putting actual people or the economy at risk. …
Algorithmic Transparency is one of the three core values of Lucidminds AI. We believe that (non-technical) end-users of algorithms have the right not only to explanation (as stated in the GDPR, though it is not legally binding as of yet), but also to have control and clarity over key parameters, input-output relations, and tailored recommendations that they receive.
Algorithms are widely used for decision making in various fields as automated systems that have direct and significant impacts on our lives such as housing markets, trading, employment, commerce and much more. As these are complex systems, their models and algorithms are technically very challenging and their explanations may offer only a little amount of meaningful information to its users. On the other hand algorithm authors (corporations, companies in this case) might not be interested in sharing the details of their algorithms because it may reveal proprietary and key business strategies, manipulate their system and cause exploitation. …