ethics regulatory Articles and Reports

This section features our articles and reports about ethical and governance concerns of artificial intelligence. From AI risk to impact on human wellbeing, explore our coverage below:

AI Ethics vs. Virtue Signalling – Transparency, Accountability, and Solving Real Problems

AI Ethics vs. Virtue Signaling – Transparency, Accountability, and Solving Real Problems

Daniel Faggella, CEO and founder at Emerj, kicked off the Technology Association of Georgia's first major event on AI Ethics in May 2019. While he could not be physically present at the event, Daniel addressed the audience through a short video on AI ethics.

Artificial intelligence for government surveillance

Artificial Intelligence for Government Surveillance – 7 Unique Use-Cases

It isn't surprising that many Google search results for "artificial intelligence for government surveillance" involve China. The consensus is that China is either catching up or overtaking the US in AI research, and it's quite open about using AI for government surveillance of its own people.

AI Ethics at the IEEE - Current Initiatives and Future Outlook

Establishing AI Ethics – Public and Private Sector Initiatives

The Institute of Electrical and Electronics Engineers (IEEE) comprises about 421,000 members in over 160 countries, and is known to most in the tech community for its publications, technology standards, conferences, and professional and educational activities. The organization has been developing internationally recognized technology standards for decades.

Aligning Machine Learning with Business Goals and Values - A Possible Method

Aligning AI with Business Practices – A Decision Model

This article was written and contributed by Tom Gilbert, PhD Student in Machine Ethics and Epistemology, UC Berkeley, and was edited and published by the Emerj team.

How Companies Can and Will Likely Respond to Smart Governance Policies

How Companies Can and Will Likely Respond to Smart Governance Policies

A discussion on AI ethics and the way AI might influence policy necessarily involves three stakeholders: world governments and policymakers, industry leaders and regulatory compliance bodies, and business executives making strategic decisions.

Three Factors for Job Security in the Age of Artificial Intelligence 1

Three Factors for Job Security in the Age of Artificial Intelligence

This article is based on a talk by Emerj.com (formerly TechEmergence) CEO Daniel Faggella at a recently held independently organized TEDxURI event. Part of the talk was on the impact of artificial intelligence on job security.

AI and Machine Vision for Law Enforcement - Use-Cases and Policy Implications

AI and Machine Vision for Law Enforcement – Use-Cases and Policy Implications

This article is based on a presentation at a joint United Nations / INTERPOL conference for law enforcement agencies held in Singapore entitled “Machine Learning and Machine Vision Cutting-Edge Trends and Implications in Law Enforcement” delivered by Emerj CEO Daniel Faggella.