Post by Admin on May 22, 2021 19:26:43 GMT
Human-Centred AI: Bridging the gap between ethics and practice
researchfeatures.com/human-centred-ai-bridging-gap-between-ethics-practice/
The AI research community is moving towards Human-Centred Artificial Intelligence (HCAI), focusing on enhancing human performance, making systems reliable, safe, and trustworthy. Professor Ben Shneiderman, from the University of Maryland, makes an exciting shift from previous thinking with 15 recommendations for bridging the gap between the ethical principles of HCAI and the practical steps for its effective governance. By taking a human-centred approach, he is opening doors to more reliable applications, enabling designers to translate ethical principles into professional practices, managers to create safety cultures in their companies, and government agency staff to establish effective policies.
Artificial Intelligence (AI) has applications in many domains including healthcare, education, cybersecurity, and environmental protection. With this comes high expectations of its associated benefits. While there is resistance to change, the AI research community is moving towards Human-Centred Artificial Intelligence (HCAI) to calm fears of out-of-control robots, clarify responsibility for failures, and reduce biased decision making that leads to unfair treatment of minority groups. HCAI will also help to reduce privacy violations, adversarial attacks, and misinformation.
Dr Ben Shneiderman, Emeritus Distinguished University Professor, and Founding Director of the Human-Computer Interaction Laboratory, at the University of Maryland, explains how “Human-Centred Artificial Intelligence (HCAI) systems represent a new synthesis that raises the importance of human performance and human experience”. Professor Shneiderman’s research is bridging the gap between the ethical principles of HCAI and the practical steps that can be taken for its effective governance. His work is an exciting shift from previous thinking. It opens doors to more reliable and safe applications by taking a human-centred approach. These fresh ideas have been very well received amongst both AI practitioners and researchers. The original research article has generated a huge interest for the journal, ACM Transactions on Interactive Intelligent Systems, with over 2500 downloads in the five months since its publication in October 2020.
researchfeatures.com/human-centred-ai-bridging-gap-between-ethics-practice/
The AI research community is moving towards Human-Centred Artificial Intelligence (HCAI), focusing on enhancing human performance, making systems reliable, safe, and trustworthy. Professor Ben Shneiderman, from the University of Maryland, makes an exciting shift from previous thinking with 15 recommendations for bridging the gap between the ethical principles of HCAI and the practical steps for its effective governance. By taking a human-centred approach, he is opening doors to more reliable applications, enabling designers to translate ethical principles into professional practices, managers to create safety cultures in their companies, and government agency staff to establish effective policies.
Artificial Intelligence (AI) has applications in many domains including healthcare, education, cybersecurity, and environmental protection. With this comes high expectations of its associated benefits. While there is resistance to change, the AI research community is moving towards Human-Centred Artificial Intelligence (HCAI) to calm fears of out-of-control robots, clarify responsibility for failures, and reduce biased decision making that leads to unfair treatment of minority groups. HCAI will also help to reduce privacy violations, adversarial attacks, and misinformation.
Dr Ben Shneiderman, Emeritus Distinguished University Professor, and Founding Director of the Human-Computer Interaction Laboratory, at the University of Maryland, explains how “Human-Centred Artificial Intelligence (HCAI) systems represent a new synthesis that raises the importance of human performance and human experience”. Professor Shneiderman’s research is bridging the gap between the ethical principles of HCAI and the practical steps that can be taken for its effective governance. His work is an exciting shift from previous thinking. It opens doors to more reliable and safe applications by taking a human-centred approach. These fresh ideas have been very well received amongst both AI practitioners and researchers. The original research article has generated a huge interest for the journal, ACM Transactions on Interactive Intelligent Systems, with over 2500 downloads in the five months since its publication in October 2020.