25 years: Behavioural science & compliance
In this video, Christian explores essential strategies for governing AI development, offering insights on how companies and governments can regulate and control AI to prevent negative outcomes.
In this video, Christian explores essential strategies for governing AI development, offering insights on how companies and governments can regulate and control AI to prevent negative outcomes.
13 mins 20 secs
Artificial intelligence is reshaping our lives across healthcare, transportation, and education by emulating human and natural intelligence. Within AI's three primary subsets, i.e., machine learning, natural language processing, and computer vision, we witness the transformational impact. Machine learning powers personalised recommendations on platforms like Netflix, NLP deciphers sentiments for brand monitoring, and computer vision enables object recognition for self-driving cars and facial recognition in security and social media. This overview encapsulates the dynamic influence of AI, driven by complex algorithms and extensive datasets, which is continually redefining our technological landscape.
Key learning objectives:
Define artificial intelligence
Outline the three main subsets of artificial intelligence
Understand the role of government in regulating artificial intelligence
Identify the challenges of artificial intelligence
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