Ethics in AI: Addressing Bias and Lack of Diversity

As artificial intelligence (AI) increasingly integrates into
various aspects of our lives, addressing the ethical implications
of its use becomes more crucial. Algorithmic decisions are often
made at such a massive speed and volume that human oversight is no
longer practical. In this panel, experts from various disciplines
will explore how biased data and a lack of diversity in development
can lead to discriminatory outcomes. This is particularly
troublesome for recent AI models with many millions of parameters
that are far too complex to be interpretable by humans. The
discussion focusses on how biases arise in datasets and algorithms,
the ethical standards that need to be established, and how to
create fair, inclusive, and transparent AI systems.