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Essential Topics in Information Architecture Information Architecture (IA) details important areas of interest in the principles and practice of implementing information architecture.
Knowledge Management in Law Firms is a collection of insights on managing knowledge in a law firm, from Knowledge Management professionals around the globe. KM in Law Firms is produced in association with the International Bar Association.
Knowledge Management Matters brings together the expertise of the world's thought leaders of KM, who share tips, tactics, and techniques.
Knowledge Management in Practice gives detailed information on applying knowledge management (KM) practices, procedures and techniques to solve real world problems.
UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization.
It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS).
Ethical AI frameworks and risk management strategies
In the interview, I stressed the importance of thinking about ethics when using AI in businesses. I pointed out that companies need clear ethical guidelines to help them develop and make decisions about AI. I also emphasized the importance of recognizing and dealing with possible risks early on. Including the need for strong data protection and finding the right balance between being innovative and following ethical rules.
Addressing bias, transparency, and accountability
I talked about the problem of bias in AI systems. It’s important to create unbiased AI technologies that don’t build on the inequalities that exist in society. I pointed out that being open and responsible is very important in building AI solutions. I wholeheartedly support the idea of transparent, reliable AI systems, so that people using them can understand and trust them.
Emerging trends and organizational culture
I talked about the new trends in AI ethics. I mentioned a growing interest in making AI development more responsible and sustainable, and that the culture of a company is important in making sure AI is used ethically and responsibly. I emphasized that leaders play a key role in making this happen.
Regulatory compliance and AI’s societal impact
I spoke about how rules and laws are becoming more important in the use of AI. I stressed the need to follow these changing legal rules. I also pointed out how AI is changing the job market, highlighting the need for organizations to offer programs to teach new skills. I also added that using AI ethically is crucial not just for following laws, but also for gaining and keeping customers’ trust.
Collaborative efforts and final thoughts
I emphasized the need for different industries and sectors to work together to ensure AI is developed ethically. I also encouraged everyone involved in AI development to focus on ethics and create AI technologies that benefit all parts of society.
The check out the full interview click on the link: Ethics and risk management for AI in the Enterprise – interview with Tony Rhem at KMWorld 2023