The IBM Expert Labs training team is pleased to announce the release of our new collection of digital course series on Trustworthy AI. These courses are available to everyone, free of charge. 

Why Trustworthy AI? 
According to IBM's Global AI Adoption Index 2021, businesses today are acutely aware of the importance of infusing trust into their AI technology to manage risk and safeguard their brand reputations. However, they identified “Lack of skills or training to develop and manage trusted AI” as the biggest barrier in implementing trusted AI to serve their business goals.  

Trustworthy AI is concerned with building AI systems that are fair, explainable, robust, transparent, and sensitive to user privacy. After completing these series of courses, business and technical roles associated with AI lifecycle will be able to identify the hallmarks of trustworthy AI systems, and develop such systems to accomplish business goals. 

 The Trustworthy AI training collection consists of 4 digital courses:  

• Reducing Unfair Bias in Machine Learning  
• AI Explainability 360 for Explainable AI and ML  
• AI FactSheets for Transparency and Governance 
• Trustworthy AI for an Enterprise with IBM Watson Studio  

 2 additional digital courses are in development and will be added to the collection soon:  

• Accomplishing AI Privacy and Compliance with IBM Privacy Toolkits  
• Tackling AI Adversarial Threats with AI Robustness 360 

Learners are encouraged to choose the course or courses in the collection that best suit their goals and expertise. 

Reach out to ELLearn@us.ibm.com for more information 

Learn more about trustworthy AI 
Learn more about the Expert Labs Learning Team