Debate Schedule - July 15

11:00 AM - 11:30 AM : Welcome and Opening

11:30 AM - 12:30 PM : Rigor

Proposition: "Increased rigor would accelerate progress within the field, and the practices we might implement to increase rigor in the field do not present an overly costly trade-off against other values."

1:30 PM - 2:30 PM : Security

Proposition: "The vulnerabilities of present machine learning systems are so critical that we should not allow their general deployment in real-world settings."

2:30 PM - 3:30 PM : Fairness

Proposition: "To effectively contend with questions of fairness, the machine learning community cannot reduce fairness to a technical question. Instead, it must increasingly and explicitly adopt an agenda of broad institutional change and a stance on the political impacts of the technology itself.”

4:00 PM - 5:00 PM : Deep Learning

Proposition: “Current and foreseeable deep learning methods possess inherent limitations that place a ceiling on their ability to advance machine intelligence unless supplemented with other techniques.”