Data governance is the process of managing and protecting the availability, integrity, and security of an organization’s data. It is a critical component of any data management strategy and can help organizations to avoid costly data breaches, ensure compliance with regulations, and improve the overall quality and value of their data. In this post, we …
Artificial Intelligence is seen by many as a great transformative technology. However, as with any transformative technology the impacts on society can be tremendous. As such,if your organization is going to be using AI and ML technologies, it makes sense to spend time considering what you want these systems to do and make sure to …
Creating ethical AI requires a combination of technical expertise and a strong understanding of the potential ethical issues that may arise. By taking proper steps including understanding the potential biases in your data, creating a diverse team, developing and following a clear ethical framework, and continuously educating yourself and your team you can help ensure …
In today’s fast-paced digital landscape, it’s no secret that artificial intelligence (AI) is rapidly becoming a crucial component for many businesses and industries. However, as AI continues to evolve and advance, it’s important to consider the ethical implications that can derail even the most carefully planned AI projects. This article covers 10 Ethical AI Issues …
10 Ethical AI Issues that can sideline AI Projects Read More »
Many of the existing ethical AI frameworks currently released by government agencies, corporations, multi-stakeholder organizations and non-profit groups are lacking in different aspects of their ethical AI frameworks. As such, Cognilytica is releasing for general usage a template for ethical AI frameworks that can serve as a basis for individual organization AI implementations or as …
Cognilytica’s Comprehensive Ethical AI Framework Read More »
A little over a year ago the OECD released their AI principles and most recently, in February 2020 the OECD launched the AI Policy Observatory. In the podcast we interview Karine Perset from OECD. She shares why creating international principles around AI is important, why the OECD launched the ONE AI Network of Experts, and …
In this podcast, Cognilytica analysts Kathleen Walch and Ronald Schmelzer interview Bob Gourley, CTO of OODA LLC, publisher of CTOVision and OODAloop.com. We discuss the opportunities and risks of AI as well as talk about the relationship between AI and cybersecurity and ways to deal with the security and reliability of AI. We recorded this …
AI Today Podcast #111: Secure & Reliable AI, Interview with Bob Gourley, OODA LLC Read More »
In this episode of the AI Today podcast hosts Kathleen Walch and Ron Schmelzer interview Dr. Philip Alvelda, CEO of Brainworks. He shares his thoughts on government’s role with regard to responsible and ethical AI, how new laws such as GDPR impact AI, whose role it is (companies or governments) to regulate AI, and more. …
In this podcast we interview Lord Tim Clement-Jones, Former Chair of the House of Lords Artificial Intelligence Select Committee and Co-Chair of the All Party Parliamentary Group on Artificial Intelligence. We discuss ethical considerations governments need to address, possible laws and regulations that will need to be put into place around cognitive technologies, and how …
AI Today Podcast #88: AI in the UK and Beyond – Interview with Lord Tim Clement-Jones Read More »
Across many industries and implementations, we see some recurring themes pop up in those use cases. In past podcasts we’ve talked about chatbots, autonomous vehicles, and aspects of natural language understanding, computer vision, and advanced robotics. In today’s AI podcast we want to talk about the concept of hypersonalization, a particular use case that’s applicable …
AI Today Podcast #77: Hyperpersonalization – The Double-Edged AI Sword Read More »
One of the biggest challenges with AI is making sense of the decisions made by black box machine learning algorithms. In this episode of the AI Today podcast, hosts Kathleen Walch and Ronald Schmelzer interview Steve Eglash, Executive Director of Strategic Research Initiatives in the Computer Science Department at Stanford University to discuss Explainable AI, …
Artificial Intelligence (AI) can be a powerful technology applied to solve many significant problems for organizations and humanity. However, it also brings to the foreground many ethical issues for consideration. In this infographic, Cognilytica explains some of the top ethical concerns for AI and how we can possibly go about resolving them. Supporting links: 10 …
This post was featured in our Cognilytica Newsletter, with additional details. Didn’t get the newsletter? Sign up here Artificial Intelligence is seen by many as a great transformative tech and the possibilities seem almost limitless to what it can eventually do. Will AI systems one day drive us around? Do our laundry? Mow our lawn? …
Artificial Intelligence systems are being used more and more in our everyday lives to help us humans make decisions. Right now many AI algorithms are a black box; we’re not quite sure how the system arrives at an outcome and this is a problem. The solution is to come up with AI systems that explain …
Artificial Intelligence is on most everyone’s radar these days. And it’s no different with governments as well. In this podcast we interview Michael Hayes, Senior Manager of Government Affairs at the Consumer Technology Association (CTA.) We discuss laws and regulations surrounding AI, why it’s important to create workable definitions now for various terms related to …
The more we involve AI in our daily lives, the more we need to be able to trust the decisions that autonomous systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. AI black …
The more we involved AI in our daily lives, the more we need to be able to trust the decisions that these systems make. Right now, too much of what AI systems do are a “black box”. We have little visibility into how decisions are being made, conclusions drawn, objects identified, and more. As the …
AI Today Podcast #015: AI Explainability & More – Interview with Mark van Rijmenam Read More »
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