Developing and deploying transparent AI is critical for ensuring fair, safe and ethical algorithmic decision-making.
This session will explore how to build AI systems which are explainable and how to meaningfully interpret and communicate AI decision-making to relevant audiences. Without understanding how and why an algorithm makes decisions, automated decisions cannot be reviewed, challenged, or redressed. This is crucial in contexts where AI makes decisions or recommendations which affect human lives (e.g., education, healthcare, employment, financial services and insurance). Without transparency, AI systems cannot be held accountable.
Transparency also matters in commercial contexts. Given that many enterprises procure AI systems from technology vendors, it is crucial that they understand what they are buying, how well it works and how it should be used. End-users and citizens should also be informed that they are interacting with or being assessed by AI (e.g., with chatbots or in video interviews).
Developing and deploying transparent AI is critical for ensuring fair, safe and ethical algorithmic decision-making.
This session will explore how to build AI systems which are explainable and how to meaningfully interpret and communicate AI decision-making to relevant audiences. Without understanding how and why an algorithm makes decisions, automated decisions cannot be reviewed, challenged, or redressed. This is crucial in contexts where AI makes decisions or recommendations which affect human lives (e.g., education, healthcare, employment, financial services and insurance). Without transparency, AI systems cannot be held accountable.
Transparency also matters in commercial contexts. Given that many enterprises procure AI systems from technology vendors, it is crucial that they understand what they are buying, how well it works and how it should be used. End-users and citizens should also be informed that they are interacting with or being assessed by AI (e.g., with chatbots or in video interviews).
Schedule a call with one of our experts
DISCLAIMER: The information provided on this website does not, and is not intended to, constitute legal advice; instead, all information, content, and materials available on this site are for general informational purposes only. Information on this website may not constitute the most up-to-date legal or other information. This website contains links to other third-party websites. Such links are only for the convenience of the reader, user or browser; Holistic AI does not recommend or endorse the contents of the third-party sites.
Readers of this website should contact their attorney to obtain advice with respect to any particular legal matter. No reader, user, or browser of this site should act or refrain from acting on the basis of information on this site without first seeking legal advice from counsel in the relevant jurisdiction. Only your individual attorney can provide assurances that the information contained herein – and your interpretation of it – is applicable or appropriate to your particular situation. Use of, and access to, this website or any of the links or resources contained within the site do not create an attorney-client relationship between the reader, user, or browser and website authors, contributors, contributing law firms, or committee members and their respective employers.
The views expressed at, or through, this site are those of the individual authors writing in their individual capacities only – not those of their respective employers, Holistic AI, or committee/task force as a whole. All liability with respect to actions taken or not taken based on the contents of this site are hereby expressly disclaimed. The content on this posting is provided "as is;" no representations are made that the content is error-free.