How ethical scorecards boost AI product integrity

InformationWeek editorial on data transparency is becoming an essential component of successful AI products. Learn how ethical scorecards help AI providers and organizations sell the integrity of their offerings.

Trust is the currency of the future in the age of AI. But how do you quantify and guarantee an AI system's ethical performance? 🤝 Some in the industry are turning to Ethical Scorecards. Cindi Howson sat down with InformationWeek to provide a framework for responsible AI from theory to a measurable, accountable practice. 🤖 Read how our Chief Data and AI Strategy Officer views explainability and transparency in today's AI: https://lnkd.in/e5QMsycp

🤖 Can your organization prove its AI is trustworthy? Ethical scorecards are emerging as a key tool for CIOs and tech leaders, helping assess bias, transparency, and accountability in AI systems. In his latest feature, Richard Pallardy explores how these frameworks can strengthen trust, compliance, and governance across the enterprise. 👉 Read more: “How Ethical Scorecards Help Build Trust in AI Systems” 🔗 https://lnkd.in/e5QMsycp #AI #EthicalAI #AIGovernance #CIO #TechLeadership

As AI evolves, balancing innovation with accountability is crucial. Embrace transparency and ethical practices to build trust and drive sustainable success. Read the insightful article by Prashant Rao to learn more about responsible AI implementation and its importance! #ResponsibleAI #EthicalAI #AIInnovation https://spr.ly/60457Ezn5

On the ethical use of AI. A youngster had an assignment to write a four-to-five page speech discussing global problems while proffering solutions. Ten minutes later, the four-pager brilliant work of a very high intelligence quotient was turned in. I had thought to myself, how? With absolutely no intention to denigrate. “Oh well, I used AI. I told it what to do with my preferred prompt and it generated the speech for me.” We must applaud the honesty regardless. But then again, don’t imagine me staring back in utmost awe and complete disbelief at the confidence and pride they displayed from pouring outrightly and unreservedly from a machine-generated response. Now this was one of the discussions we had at the just concluded CIPM UK conference. How AI automation can drive workforce innovation, and also discern if AI evolution is a crisis or an opportunity. Some facts were made straight: 💡If governance is in place and the mindset is focused on innovation with ethical frameworks and compliance, then it is an opportunity. 💡It is an opportunity if it is used to augment or align business strategies and empower people, not necessarily a means to replacements. 💡It is a huge crisis if leadership lack clarity on the true use, purpose and value of AI automation and employees begin to fear its deployment as well, then employee morale will nosedive in no time. 💡When ethical practices are flouted upon its use and deployment, then data breaches are imminent and AI automation becomes a crisis. But then again, while the world claps at the opportunities that AI drives, a bigger crisis looms. Its ETHICAL use. Not only for this generation, but for generations to come. I read a post by Ndubuisi Ekekwe and he had said, “If you want your child to thrive in the grand AI creation, let him or her master mathematics and physics.” and that comment was in defence of how young people should rather focus on maths and physics which aid calculations and precision in AI creation as against mere AI usage. I think I failed to add in the comment section “with an additional focus on ethical considerations for both its creators and users”. I believe also, more of knowing when to deploy one’s brain or common reasoning to work, and when to deploy AI. For example, a business automating its customer support unit by 100%, when 80% of their customer base are residents in communities with constant power outages. Where is the common reasoning in that? The same way the calculators were invented to aid mathematical calculations, and not necessarily to defeat our mental capabilities to know what 2+2 equals. In simple words- Ethical and reasonable AI collaboration. Before this post goes beyond the word limit, I certainly have work to do regarding this youngster who needs to know the relationship between Quillbot and plagiarism. #Artificialintelligence #EthicalAI #AICollaboration

78% of organizations trust AI, yet only 40% invest in ethical safeguards. Last week, I had the pleasure of talking with Caitlin Wolper Phillips for The Daily Upside about why ethical frameworks must be considered before deploying AI. Thanks, Caitlin, for the thoughtful conversation. Read the article: http://2.sas.com/6043AFLEx #SAS #ResponsibleAI

While 78% of organizations say they fully trust AI, only 40% of them invest in ethics frameworks, according to SAS research. Creating a framework for ethical oversight “needs to happen even before you write the first line of code,” states Udo Sglavo, VP of SAS Applied AI and Modeling. http://2.sas.com/6045AAqVX

The article emphasizes the importance of ethical AI development as AI becomes increasingly integrated into daily life. Key components include transparency in AI systems for trust, fairness to prevent bias, robust data privacy measures, and clear accountability frameworks. Human oversight is crucial to catch AI errors, especially in critical fields like healthcare. Building an ethical culture within organizations and fostering multi-disciplinary collaboration are also vital. The ultimate goal is to balance innovation with ethical responsibility, ensuring AI serves humanity positively and equitably. #EthicalAI #AITransparency #FairAI #DataPrivacy #AccountableAI #HumanOversight #ResponsibleInnovation #AIDevelopment #TechEthics #AIForGood

The article emphasizes the importance of ethical AI development as AI becomes increasingly integrated into daily life. Key components include transparency in AI systems for trust, fairness to prevent bias, robust data privacy measures, and clear accountability frameworks. Human oversight is crucial to catch AI errors, especially in critical fields like healthcare. Building an ethical culture within organizations and fostering multi-disciplinary collaboration are also vital. The ultimate goal is to balance innovation with ethical responsibility, ensuring AI serves humanity positively and equitably. #EthicalAI #AITransparency #FairAI #DataPrivacy #AccountableAI #HumanOversight #ResponsibleInnovation #AIDevelopment #TechEthics #AIForGood

While 78% of organizations say they fully trust AI, only 40% of them invest in ethics frameworks, according to SAS research. SAS' Udo Sglavo tells The Daily Upside that creating a framework for ethical oversight “needs to happen even before you write the first line of code." http://2.sas.com/6046AtIGQ