Grant Schultz’s Post

I know there is one thing that stops you from adopting AI in your businesses: data privacy and security concerns. Artificial Intelligence is not perfect, but trust me, if you follow the right strategies, AI will be the best thing that has happened to your company because now it's going to be Responsible AI. Here's how you can ensure your data is safe, policies are followed, and customers trust you after you start using AI. #DataPrivacy #DataSecurity #AI #ResponsibleAI

CIOs pursuing AI opportunities need to work with executive leaders to determine the acceptable level of risk adopting AI might pose to the organization. Learn more about the privacy, explainability and security issues that go along with AI adoption and how to create the best balance of opportunity and risk: https://gtnr.it/4bgJlRf #GartnerIT #AI #GenAI #ArtificialIntelligence

CIOs pursuing AI opportunities need to work with executive leaders to determine the acceptable level of risk adopting AI might pose to the organization. Learn more about the privacy, explainability and security issues that go along with AI adoption and how to create the best balance of opportunity and risk: https://gtnr.it/49SGXiV #GartnerIT #AI #GenAI #ArtificialIntelligence

The greatest barrier to practicing responsible AI is getting started. But it's easiest to begin just by asking questions. These are some of the most important questions to consider about your AI system. Would you change or add anything? Check out the full blog post at NavigateRAI.com/blog SAFETY: Can the AI system output cause harm? If so, does some safeguard or human oversight make sense? RELIABILITY: Is my AI system always accurate? What happens if the output is wrong?  CYBERSECURITY: Am I using data I want to keep secure? If so, am I exposing it in any way?  PRIVACY: Am I using private customer data? Am I allowed to use it for this purpose? FAIRNESS: Will different demographic or protected groups be treated differently? EXPLAINABILITY: Is it clear why the AI system makes the outputs it does? Will lack of interpretability erode trust or adoption in the AI system? TRANSPARENCY: Do customers/users know that you’re using AI? Should they? ACCOUNTABILITY: Who is responsible for asking these questions? Who will you go to if something goes wrong with the AI system?

CIOs pursuing AI opportunities need to work with executive leaders to determine the acceptable level of risk adopting AI might pose to the organization. Learn more about the privacy, explainability and security issues that go along with AI adoption and how to create the best balance of opportunity and risk: https://gtnr.it/40qop7I #GartnerIT #AI #GenAI #ArtificialIntelligence

CIOs pursuing AI opportunities need to work with executive leaders to determine the acceptable level of risk adopting AI might pose to the organization. Learn more about the privacy, explainability and security issues that go along with AI adoption and how to create the best balance of opportunity and risk: https://gtnr.it/3zEkV6b #GartnerIT #AI #GenAI #ArtificialIntelligence

While transparency and explainability are imperative to building trust in AI so businesses can reap the benefits of the technology, neither of these are the responsibility of AI security. Find out why: http://ms.spr.ly/6043lwPpc #AI

While transparency and explainability are imperative to building trust in AI so businesses can reap the benefits of the technology, neither of these are the responsibility of AI security. Find out why: http://ms.spr.ly/6043lXjIv #AI

Concerned about your business data's security in the AI era? 😓 Be wise about vendor choices and put data privacy first. Check out Ed Guarrieri's article for key tips on AI integration and discover how CBIZ CompuData can assist with security challenges in the AI landscape. #AI #DataPrivacy #AIData #CBIZCompuData

Shadow AI: shedding light on the hidden risk The EU's Artificial Intelligence Act (Chapter 1, Article 4) obliges organisations that operate in the EU to: “...take measures to ensure, to their best extent, a sufficient level of AI literacy of their staff and other persons dealing with the operation and use of AI systems on their behalf.” Educating your staff in authorised AI systems is one thing, but there is an entire ecosystem of tools that people don't realise feature AI, and that 'shadow AI' is one of the biggest threats to your AI policies. Here is how to ensure everyone knows what AI they are using, and how to use it: https://lnkd.in/e49AvaKg #AI #data #security #compliance Ben Howarth