Lecture 9

Question 1

Trust in automated systems and algorithms also involve specific dimensions of machine-trustworthiness

Answer 1

1. Fairness: how fair is the algorithm? (Algorithmic bias) => discrimination, prejudice
   - Machine translation and gender; specific words are related to specific genders
2. Accountability: consequences and impacts? (Management? Developers?)
3. Transparency: countering the black box problem

Question 2

How could a bot be seen as more human than another one?

Answer 2

• Perceived warmth
• Communication delay
• Perceived competence

Also, when people trusted the chatbot, there was an increased tendency to not switch to not switch to other solutions.