ajay-thampi-interpretable-ai-or-how-i-learned-to-stop-worrying-and-trust-ai-pydata-london-2019.json

{
  "copyright_text": null,
  "description": "One of the main reasons why companies are blocking the deployment of AI across the enterprise is trust. The lack of understanding of complex machine learned models is hugely problematic. In this tutorial, I will cover various data science techniques that have been successfully applied at Microsoft to gain customer trust and improve model understanding.",
  "duration": 2037,
  "language": "eng",
  "recorded": "2019-07-13",
  "related_urls": [
    {
      "label": "Conference schedule",
      "url": "https://pydata.org/london2019/schedule/"
    },
    {
      "label": "Talk slides",
      "url": "https://github.com/thampiman/interpretability/blob/master/PyData%202019%20-%20Interpretable%20AI.pdf"
    }
  ],
  "speakers": [
    "Ajay Thampi"
  ],
  "tags": [],
  "thumbnail_url": "https://i.ytimg.com/vi/RqH4KkXPlpk/maxresdefault.jpg",
  "title": "Interpretable AI or How I Learned to Stop Worrying and Trust AI",
  "videos": [
    {
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=RqH4KkXPlpk"
    }
  ]
}