Why Business Leaders Should Understand AI Alignment

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Daniel Langkilde is CEO and co-founder of Kognic, the leading data platform for performance-critical applications like autonomous driving. Read Daniel Langkilde's full executive profile here.

to that of previous industrial and scientific revolutions. If used properly, for example, AI could improve our lives in many ways—fromin computational power and data, AI systems should become far more capable, possibly equaling or exceeding human-level performance at many intellectual tasks. As business leaders, however, it is imperative that we act now to ensure AI is aligned with human values and intent.that aims to ensure artificial intelligence systems achieve desired outcomes.

With the emergence of ever more powerful AI, this alignment exercise will be extended to include algorithms. Imagine playing darts but not agreeing on what the dart board looks like or how to score points. If it’s not clear what the objective is, we will get fuzzy and useless feedback. The same is true for machine learning algorithms.

In order to function properly, though, AI products need to learn the language of human preferences. Humans interpret things differently and develop preferences based on their personal perceptions. Whether we are looking at language models that drive chat interfaces, self-driving cars or even the spam filter on your email, there is a lot of ambiguity and subtlety surrounding the process of how to treat data.

For example, the autonomous vehicle industry has already faced many challenges in putting ML-enabled products on the road. In its capacity to power self-driving cars, AI has. The problem is not one of intent. Manufacturers of automated vehicles want to ensure that their products behave as passengers expect by not making dangerous turns, obeying traffic rules, driving on safe surfaces, etc..

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