Intersection of Ethics and AI for Associations

“The ethical purpose for AI is used to indicate the development, deployment, and use of AI which ensures compliance with fundamental rights and applicable regulation, as well as respecting core principles and values.”

~ European Commission on Artificial Intelligence in the recent research from the Capgemini Research Institute found:

• Most executives (77%) are uncertain about the ethics and transparency of their AI systems.
• Executives in one out of ten organizations are aware of at least one instance of the use of AI systems that resulted in ethical issues.
• The pressure to implement AI is fueling ethics issues.
• The use of AI is becoming fundamental to winning people’s trust.

“The ethics of AI is a subfield of applied ethics and technology that focuses on the ethical issues raised by the design, development, implementation, and use of AI.”

These statistics alone raise several ethical issues and implications that involve a significant trust component. Here are just a few of the most crucial ethical issues that need immediate attention and customized training.

LEARNING OBJECTIVES:

To train professionals in IT with customized ethics training needed to deal with their specific AI issues.

To build an ethical culture by which AI needs in its development and applications.

To develop and instill ethical methodologies needed to ensure the continual ethical usage of AI.

To learn and experience ethical strategies to help a company deal with AI unintended outcomes from an ethical perspective.

If the company is perceived to have operated in an unethical manner, what might be the ‘price to pay’ even from a ‘false’ perception? How would this affect customer loyalty, your corporate reputation, etc.?

How the lack of ‘targeted ethics training’ possibly affect one’s brand, employee retention, the workplace at large, and the respective AI culture.