How to Build an Ethical Human-AI System
How to Build an Ethical Human-AI System
In 2021, Amazon closed down its AI-based recruitment tool because it showed bias towards minority groups. The AI picked male candidates 60% of the time.
Building an ethical AI means getting rid of biases — an uphill battle considering these biases have roots in numerous human cognitive biases. These challenges are magnified in human-AI systems that need to contend with both people and AI.
Download our free ebook, Extending Business Intelligence With Human-AI Systems
Understand how to safeguard your collaborative human and AI system from manipulation, bias and other ethical challenges.
Misuses of AI
AI can also be biased and manipulative for all the potential good it can do. As yet, only 47% of organizations test for bias in data and human-AI systems.1
AI has been used for outright wrong reasons, such as cyberwarfare. But beyond the obvious, many companies are abusing the power of AI without considering their ethical repercussions, such as:
6 Points Organizations Should Consider Before Building Human-AI Systems
The emergence and proliferation of this technology has given rise to a new frontier in ethics and risk assessment. Amidst the purported potential benefits of AI, there are growing fears of joblessness, bias and even AI dominance or singularity.
Businesses should have the following goals as they adopt AI into their daily operations:
Building an Ethically-Safe Human-AI System
AI systems should be human-centered and focus on human autonomy and fundamental rights. The European Union prescribed a guideline to ensure the human-AI system is safe:
Some of the best practices to navigate ethical issues in human-AI collaboration are:
While ethical issues surrounding AI mount, business leaders need a clear understanding of how to develop human-AI systems that are practical, understandable, perform as designed and don’t cause harm.
Sign up forThe Future of Leadership: Human and AI Collaboration in the Workforce from MIT Media Lab, co-directed by AI ethicist Dr. Kate Darling, to learn how to make the right choices to ensure ethical human-AI collaboration in your company.
The Future of Leadership: Human and AI Collaboration in the Workforce is delivered as part of a collaboration with MIT Media Lab and Esme Learning. All personal data collected on this page is primarily subject to the Esme Learning Privacy Policy.
© 2022 Esme Learning Solutions. All Right Reserved.