Join Barton Poulson for an in-depth discussion in this video The absence of meaning, part of AI Accountability Essential Training.
- [Instructor] The algorithms of artificial intelligence…and machine learning can be used for all sorts of tasks.…One of the interesting ones…is the predictive analysis of text.…So, for instance, in machine learning, algorithms can be…used to determine authorship, who wrote something.…They can be used to describe personality traits…or to grade student essays, among other topics.…And what's important to note is that…when humans read a text, we see meaning, we see patterns,…we see the individual in it, but a computer doesn't.…
In fact, many of these analyses are based…on what's called a bag of words analysis.…That's where you take the entire text,…and you chop up every single word,…and you simply count how often each word happens.…And that actually has been very productive…in a lot of settings, but it does ignore meaning completely.…It removes the meaning from the document.…And really, that makes it surprising…that it's made so much progress.…Well, it lets you know that there are predictive…elements in the text other than meaning.…
- Bias in AI
- Navigating the social challenges of AI
- Moral reasoning and relational ethics
- General Data Protection Regulation (GDPR) and AI
- Discrimination in data
- Liability and AI
- AI in life-and-death situations
- Confronting the challenges of AI as a developer, executive, and consumer
Skill Level Intermediate
1. The Context for AI
2. Technical Challenges of AI
3. Social Challenges of AI
4. Legal Challenges of AI
5. Safety Challenges of AI
AI in the military4m 36s
6. Confronting the Challenges of AI
Next steps2m 52s
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