Ethics In AI And Artificial Narrow Intelligence | AI for Business #5
In this episode of AI for Business, we dive into the complex issues surrounding ethics in AI and artificial narrow intelligence. You can download the AI ethics code here: [ Ссылка ]
Bernardo is back, and this time he’s going to take us through the top 5 most discussed ethical concerns of artificial narrow intelligence:
1) Interpretability
2) Data Citizenship
3) Fairness
4) Governance
5) The Future of Work
Understanding ethics in AI is a lot more complicated than “will robots take over the world?”. It’s now crucial for businesses to follow research areas such as interpretability (or ‘explainable’ AI) as customers become more concerned and curious about how their data is being used, and since the GDPR came into effect in May 2018.
From collaborative filtering to convolutional neural networks, customers often encounter a frustrating lack of transparency around machine learning and automated decision-making.
- How exactly are decisions about credit ratings made?
- How does image recognition work?
- Are deep neural networks just too complicated to be ethical?
- Should Netflix, Spotify and Facebook provide customers with more algorithm transparency and make AI more interpretable?
- How did Netflix know you’d like to start binge-watching Queer Eye? (It’s because you watched 9 seasons of Drag Race in just 3 weeks.)
Do you think we covered the key concerns surrounding ethics in AI and artificial narrow intelligence? What did we miss? Let us know in the comments.
Get your free downloadable AI ethics code here: [ Ссылка ]
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