We make decision that are often biased.
We tend to set up habits and to choose our prefered options, regardless of the advantages of other options, in both our private life and working environment.
Technologies of artificial (AI) bring the promise of better experience, augmented performance, and making better and faster decisions.
In our private life, they collect and process information about our online activities, our centers of interest, and our preferences to propose tailored products and services.
In our working environment, they help experts to make faster and more reliable decisions based on previous pieces of information and past results.
AI guide our choices and decisions by summarizing and synthesizing complex sets of information.
But their results largely depend on the type of information that we produce and that are selected by developers.
So how can we guarantee that AI do not reproduce and do not reinforce our biased decisions? What about our free will to make ethical and responsible decisions?
In this conference, I will present the strenghts and limits of AI and humans to make ethical decisions.
I will illustrate the impact of AI on our decisions in private life and in working environment based on media coverage.
Cognitive biases to make ethical decisions
Brain system 1 and 2 in cognitive biaises
Why AI produce biased decisions
What kind of cognitive biaises are triggered by AI results
What are the risks of reinforcing cognitive biases
How to use AI to make more ethical decisions
Know the impact of cognitive biases on ethical decision making
Understand the differences between biased decisions in humans and biased results in AI
Strengthen critical thinking on AI results and performance
Empower human-machine interactions to make ethical decisions
Developers, designers, innovators, students
Schools, consulting firms, training establishments
1 hour talk
30 minute session of open questions
+200 hours of teaching and training pratices
+20 participations in international conferences
+19 years of research in cognitive psychology and neuroscience
+4 year experience in technological innovation