In this week’s roundup, consider how artificial intelligence (AI) could be utilized within mental health and aid in the commercial management of trucks. Learn how machine learning (ML) is being used to identify gait-issues related to multiple sclerosis (MS) and how the AI sector could use nonprofits as the ideal ethical example. Finally, hear from AI pioneer Andrew Ng in an insightful interview.

Is Artificial Intelligence the Future of Mental Health?

By Lotus Huyen Vu, contributing writer for

Scientists have developed AI systems for mental health to teach users therapeutic skills that would normally be taught by a therapist. One example of this is AI Chatbots, which can deliver support 24/7 and make therapy more accessible to patients, and with less stigma. However, utilizing AI for mental health presets safety and privacy concerns as well as the risk of psychological transference and the long-term effects from interacting with AI.


Artificial Intelligence As a Co-Driver

By University of Göttingen, contributing writer for

AI is becoming increasingly common in many industries including online retailing. Traditional lines of work, such as transport logistics and driving, are developing in a similar direction. Scientists have now investigated how efficient the use of AI is in the commercial management of trucks. The best option is an intelligent combination of human decision-making and AI applications.


Andrew Ng: Forget About Building an AI-First Business. Start With a Mission.

by Karen Hao, contributing writer for

Andrew Ng, an AI pioneer, joined MIT Technology Review’s virtual EmTech Digital to share the lessons he’s learned throughout his impressive career. In it, he discusses why companies should stop building AI-first businesses and instead focus on customer- or mission-led business, and why good data is more important than big data. He also discusses the state of the industry today and where AI fits in to address business challenges.


Machine Learning helps Spot Gait Problems in Individuals with Multiple Sclerosis

By Lois Yoksoulian, contributing writer for

When assessing MS-related gait issues in elderly patients, it is difficult to tell the difference between problems related to MS and other age-related issues. Researchers are integrating gait data and ML to advance the tools used to monitor and predict disease progression. Learn about a new study that uses this approach and how the research was conducted.


How The AI Sector Can Use Nonprofits As An Ethical Example

By Moshe Hecht, contributing writer for

Imagine a world in which the nonprofit sector is the driving force of society. Where incentives to succeed are guided by the ability to do good and create profit as a result. The use of AI and data science can get us there with humans acting as the moral compass of where AI is heading and how we choose to let it “rule the future.” Businesses should treat the people they serve like a nonprofit would treat mega-donors: with transparency, honesty, ethics, and friendship.


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