#set page(numbering: "1")
#set heading(numbering: "1.1.A.")
#set list(marker: ([•], [--]))

#let make_title(title: none, author: none, course: none, date: none) = {
  align(center, text(size: 25pt, title))
  align(center, text(size: 18pt, author))
  align(center, text(size: 18pt, course))
  align(center, text(size: 18pt, date))
}

#let unipd-red = rgb(160, 0, 0)
#show heading: set text(unipd-red)

#v(10em)
#figure(image("images/unipd-logo.png", width: 50%))
#v(3em)

#make_title(
  title: "Advanced Topics in Computer Science\nTrustworthy AI report",
  author: "<NAME> - 2089120",
  course: "Computer Science – Other training activities",
  date: "June 2023",
)
#pagebreak()

= Introduction
The aim of this report is to give a simple summary of the 2020 paper "Interpretable and Differentially Private Predictions", from <NAME>, <NAME> and <NAME>, and later make some considerations on the broader trustworthy AI context of the ideas proposed in the paper.
Finally, some personal critical thoughts on the topic are left.

= Paper
#include "paper.typ"

= About broader trustworthy AI context
#include "trustworthy-ai.typ"

= Personal evaluation
#include "personal.typ"
