The Real Reason to be Afraid of Artificial Intelligence | Peter Haas | TEDxDirigo

Horizon 2017 report 
see page 46 Artificial Intelligence:
Relevance for Teaching, Learning, or Creative Inquiry 
An overarching goal of artificial intelligence is to bolster productivity and engagement, better supporting the global workforce and individuals in their daily lives. This makes this technology promising for higher education, especially as teaching and learning increasingly take place online. Adaptive learning, featured earlier in this report, leverages basic AI algorithms to personalize learning, delivering content that best suits students’ needs based on performance and engagement with the subject matter.

Rita Singh

Research Interests

I work on core algorithmic aspects of computer voice recognition, and artificial intelligence applied to voice forensics. My focus is on the development of technology for the automated discovery, measurement, representation and learning of the information encoded in voice signal for optimal voice intelligence. Speech, a highly ordered manifestation of the human voice, is also shaped and influenced by the external environment. Understanding general audio, it’s interplay with human voice and it’s contextual significance, is a vital part of my research. The final goal of my work is to enable computing machines to not only recognize the content of human speech better in general, but also to understand and respond to humans by gauging their persona, their intent and their staus vis-a-vis their environment from their voice alone, with an actuity that surpasses that of the human brain. This part of my research represents an intersection of the areas of AI and Voice Forensics. I continue to work towards making voice intelligence algorithms work much better than currently possible in high-noise and other kinds of complex environments, using minimal external (human-generated) knowledge. On the periphery, I work on the general quest for more automation, powerful search strategies and more scaleable learning algorithms for voice intelligence systems.

Artificial Intelligence in Education (conference)
Notice Tom Mitchell, CMU is a keynote:
and this is a link to the AIED society website that links to this and previous conferences:

Jack Ma on the IQ of love – and other top quotes from his Davos interview

Jack Ma on the future of education


Nurturing Persistent Problem Solversmt2018-01-294a

How do you design?

Models of Teaching and Learning

The Future Belongs to those with Soft Skills

CMU is seeking clear answers on artificial intelligence in the workforce

Sir Ken Robinson


Disruptive innovation.

Building a Shared Vision of the #FutureofLearning

Luis Von Ahn – Duolingo

CMU: Pittsburgh’s Learning Engine

Global Learning Council

The Future of Higher Education in a Digital Age NYU Stern



WGS17 Sessions: The Future Model of Higher Education

Machine Learning Will Change Jobs

Machine learning computer systems, which get better with experience, are poised to transform the economy much as steam engines and electricity have in the past. They can outperform people in a number of tasks, though they are unlikely to replace people in all jobs.

So say Carnegie Mellon University’s Tom Mitchell and The Massachusetts Institute of Technology’s Erik Brynjolfsson in a Policy Forum commentary published in the Dec. 22 edition of the journal Science. Mitchell, who founded the world’s first Machine Learning Department at CMU, and Brynjolfsson, director of the MIT Initiative on the Digital Economy in the Sloan School of Management, describe 21 criteria to evaluate whether a task or a job is amenable to machine learning (ML).

Two ideas that will revolutionize education forever | Aditi Avasthi | TEDxIITHyderabad

Neuroscience, AI and the Future of Education | Scott Bolland | TEDxSouthBank

Three levels of AI to drive education. (1) Rote learning, (2) Generative Learning, (3) Integrative learning.

Artificial Intelligence & Education: Lifelong Learning Dialogue | Toru Iiyoshi | TEDxKyotoUniversity

A teaching assistant named Jill Watson | Ashok Goel | TEDxSanFrancisco

Jill Watson is an AI teaching assistant for online course.

Education is globally broken… and it can’t be fixed without AI | Harri Ketamo | TEDxTartu

Artificial intelligence & the future of education systems | Bernhard Schindlholzer | TEDxFHKufstein

The Wheel Of Modern Education | Gautam Khetrapal | TEDxUTP