Our A/IS Courses
Impact Assessments for Artificial Intelligence and Autonomous Systems: Incorporating An Understanding Of The Ethical Implications of A/IS Impact on Human Wellbeing
The growing use of artificial intelligence has raised awareness of the need for further human protections in this growing field. This need impacts policy makers and researchers working in Autonomous and Intelligent Systems (A/IS), as well as developers and industry partners working to provide new products and services using A/IS. In this course, participants will be introduced to a new international standard – IEEE 7010-2020 – IEEE Recommended Practice for Assessing the Impact of A/IS on Human Well-being. With the knowledge gained in this course, participants will be able to understand how to apply the standard within their sphere of influence. For example, to propose integration within an organization’s product development, or for integration as part of government regulation, policies and guidance for the A/IS business sector.
In this course, attendees will learn the following:
- Scope and purpose of the 7010-2020 Standard, how well-being and different domains of human wellbeing are defined within the standard, and different types of A/IS technology applications
- The roadmap and process checklist for the standard, including the overall model of developing a Well-being Impact Assessment (WIA) Framework
- How to perform the internal analysis, stakeholder/user engagement, and initial creation of the well-being indicators dashboard
- How to create a data collection process for assessment and evaluation, as well as gain familiarity with existing tools for evaluating well-being impact within different domains of human wellbeing that can be used for this evaluation process, including baseline and post-baseline data collection
- The iterative process of engaging in A/IS improvement and using the well-being indicators dashboard
Artificial Intelligence and Autonomous Systems In My Organization: Assessing Impact and Risk Management
Use of A/IS within organizations is a growing trend, from supporting Human Resources, to replacing human workers in tasks such as food preparation or mechanical tasks. Leaders, managers, risk management professionals, and human resource departments need to know how human stakeholders will be impacted by the use of AI technology in order to adequately prepare risk mitigation and corporate social responsibility measures.
This course is designed to educate organizational leaders who may currently be using or planning to use A/IS in their organization. It will guide them in making accurate benefit and risk assessments about A/IS, as well as in monitoring and assessing the impact of A/IS once implemented to mitigate any potential negative impacts.
In this course, participants will be introduced to a new international standard – IEEE 7010-2020 – IEEE Recommended Practice for Assessing the Impact of A/IS on Human Well-being. This standard provides a framework to assist leaders in performing both initial assessments and ongoing evaluations.
Attendees will learn the following:
- The different types of A/IS technology applications used within organizations. This includes some that they may not be aware of, such as automated resume screening (ARS) software. Also explored are the unintended consequences or adverse impacts that could negatively impact public perception that should be evaluated or monitored as part of being a socially responsible corporation.
- The scope and purpose of the 7010-2020 Standard, how well-being and different domains of human wellbeing are defined within the standard, and how it can be used to assist with A/IS technology evaluation and monitoring.
- The components of the standard’s recommended roadmap and processes, and how they could be used for one’s organization. This includes understanding the overall model of developing a Well-being Impact Assessment (WIA) Framework
- The processes for performing analyses and where to go for additional support and resources on utilizing the standard, choosing data collection metrics and developing the well-being indicators dashboard
- Participants will also gain familiarity with existing tools for evaluating well-being impact within different domains of human wellbeing that can be used for this evaluation process, including baseline and post-baseline data collection