MACHINE TEACHING: Challenges in AI from a different perspective
2013: A false tweet from a hacked account owned by the Associated Press (AP) costs 138 Billions for S&P 500 indec
2014: Propublica reveals software used across USA to predict future criminals is biased against blacks.
2016: In 24hra a 'teen girl' bot flops and harms Microsoft AI reputation after it became Hitler-loving sex robot within 24 hours
2018: First death caused by and self-driving car
Last days: Last days: Google Duplex astonishes the tech world with a whole new level of personal assistants.
Machine Learning is the new buzz.
But little is discussed about Machine Teaching.
A new world of risks and biz opportunities unfolds from the counter side of Machine Learning. With impacts in Marketing & Comm Competencies, skills, ethics, educational efforts, new carrers, crisis prevention from Machine "fiascos" and whole new challenges ahead.
Come exchange & incite different point of views about this perspectives!