Scoring Criteria
The scoring criteria for the 2023 AI Awards differentiates per category but in general, the judges will score on:
- Quality of entry papers
- Relevance
- Originality
- Complexity
- Impact
Applicants should take the following questions in mind when making their submission:
Relevance
Motivation for this product/project. What inspired you to do it and what is the goal?
Originality
What separates you from the competition? If you had not solved it, what was the likelihood someone else would have done so?
Complexity
What is the problem you are trying to solve? How did you go about it?
How difficult was it to develop? What technologies did they use? What challenges did they need to overcome? What was the result?
What time and resources were put in to make it happen?
Impact
How does this product/service/ project positively impact our everyday lives either today or in the future.
How will it change how we do business or how we produce products? How many people will be impacted by the changes?
Impact and complexity are characteristics that mature from the entry to the presentation stages. Both are still relevant but it’s one thing explaining it on paper and quite another to truly demonstrate what the solution is really about. The judges want to know how your brand, product or project can change the world in some way.
For example:
- Technological / Technical Achievement – New type of machine learning for example
- Societal – Helps improve us and the world around us (e.g. Save the Whales, Combat Climate Change, Eliminate Poverty, Cure a Disease)
- Economic – Changes how business works, disruptive or transformational?
- Scientific – Something revolutionary in its approach to solving stubborn problems
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