AlphaZero, progress in meta-learning, the role of AI in fake news, the difficulty of developing fair machine learning -- 2017 was another year of big breakthroughs and big challenges for AI researchers!
To discuss this more, we invited FLI's Richard Mallah and Chelsea Finn from UC Berkeley to join Ariel for this month's podcast. They talked about some of the progress they were most excited to see last year and what they're looking forward to in the coming year.
Deric Cheng of the Windfall Trust discusses how AGI could transform the social contract, jobs, and inequality, exploring labor displacement, resilient work, new tax and welfare models, and long-term visions for decoupling economic security from employment.
Researcher Oly Sourbut discusses how AI tools might strengthen human reasoning, from fact-checking and scenario planning to honest AI standards and better coordination, and explores how to keep humans central while building trustworthy, society-wide sensemaking.
Technical specialist Nora Ammann of the UK's ARIA discusses how to steer a slow AI takeoff toward resilient, cooperative futures, covering risks from rogue AI and competition to scalable oversight, formal guarantees, secure infrastructure, and AI-supported bargaining.