Epstein Secrets

essing Adverse Outcomes ARTIFICIAL INTELLIGENCE ADVERSE OUTCOMES & TEAMS 1) FINANCIAL MARKETS A!, Trading Systems, and Market Manipulation Chair: Michael Wellman Red Team: Miles Brundage, Randy Bryant, Gary Marchant, Jaan Tallinn Blue Team: Michael Littman, Greg Cooper, Yan Shoshitaishvili, Frank Wilczek 2)

r an agent advanced enough to discover them) that include self- and goal-preservation, resource- and capacity-increase, etc. (e.g., as discussed in Bostrom, 2014). One suggestion for maintaining control over advanced systems that pose risks from the combination of the above considerations is to limit th

es ARTIFICIAL INTELLIGENCE ADVERSE OUTCOMES & TEAMS 1) 2) 3) 4) 5) 6) FINANCIAL MARKETS Al, Trading Systems, and Market Manipulation Chair: Michael Wellman Red Team: Miles Brundage, Randy Bryant, Gary Marchant, Jaan Tallinn Blue Team: Michael Littman, Greg Cooper, Yan Shoshitaishvili, Frank Wilczek DE

for an agent advanced enough to discover them) that include self- and goal-preservation, resource- and capacity-increase, etc. (e.g., as discussed in Bostrom, 2014). One suggestion for maintaining control over advanced systems that pose risks from the combination of the above considerations is to limit the

es ARTIFICIAL INTELLIGENCE ADVERSE OUTCOMES & TEAMS 1) 2) 3) 4) 5) 6) FINANCIAL MARKETS Al, Trading Systems, and Market Manipulation Chair: Michael Wellman Red Team: Miles Brundage, Randy Bryant, Gary Marchant, Jaan Tallinn Blue Team: Michael Littman, Frank Wilczek, Greg Cooper, Yan Shoshitaishvili DE

for an agent advanced enough to discover them) that include self- and goal-preservation, resource- and capacity-increase, etc. (e.g., as discussed in Bostrom, 2014). One suggestion for maintaining control over advanced systems that pose risks from the combination of the above considerations is to limit the