Ethics & Governance: Page
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Brand Experience Team/TechTarget
Opinion // Omdia Analysts' PerspectivesThe rise of automation and governance in MLOps
MLOps can make many of an organization's operations more efficient, but only when its automation capabilities are paired with effective governance strategies.
By Mike Leone • March 3, 2023 -
Brand Experience Team/TechTarget
ElevenLabs and the risks of voice-generating AI
The startup's technology is popular among content creators and also bad actors who use it maliciously. But the AI voice platform also raises the issue of what's real and fake.
By Esther Shittu • Feb. 24, 2023 -
Brand Experience Team/TechTarget
How ChatGPT can advance AI in the law industry
AI technology has made it easier for lawyers to do their job effectively. The emergence of generative AI is no exception. But lawyers who use this tool must do so responsibly.
By Esther Shittu • Feb. 24, 2023 -
Brand Experience Team/TechTarget
Federal report focuses on AI diversity and ethics
A national group formed to advance the research and development of AI in the U.S. proposes ways to add more variety among students, educators and researchers studying AI.
By Esther Shittu • Feb. 3, 2023 -
Brand Experience Team/TechTarget
Implications of AI art lawsuits for copyright laws
Lawsuits filed by Getty Images and several artists could determine whether generative AI developers can use copyrighted materials as part of their training data sets.
By Esther Shittu • Feb. 1, 2023 -
Brand Experience Team/TechTarget
Lensa AI app mixes up data, privacy and representation
The app generates avatars from users' images. While the terms and conditions worry critics, the avatars provide representation of racial groups not usually seen in art.
By Esther Shittu • Dec. 15, 2022 -
Brand Experience Team/TechTarget
Diversity within your AI team can reduce bias
The CEO of the Women Leaders in Data and AI group discusses why including women and other underrepresented groups on AI teams can help to address the problem of AI bias.
By Esther Shittu • Dec. 9, 2022 -
Brand Experience Team/TechTarget
AWS adds governance, geospatial tools to Amazon SageMaker
The cloud computing giant added data governance and geospatial tools to its machine learning platform and provided 40 new data connectors to Data Wrangler.
By Shaun Sutner • Nov. 30, 2022 -
Brand Experience Team/TechTarget
Intel deepfake detector raises questions
The vendor created a detector that uses facial blood flow to determine if a video subject is fake or real. However, its effectiveness to detect a real or fake video is unclear.
By Esther Shittu • Nov. 14, 2022 -
Brand Experience Team/TechTarget
algorithmic transparency
Algorithmic transparency is openness about the purpose, structure and underlying actions of the algorithms used to search for, process and deliver information.
By TechTarget Contributor • Nov. 10, 2022 -
Brand Experience Team/TechTarget
Expert Advice
How financial institutions can streamline compliance with AI
AI systems help make compliance processes more efficient and effective for financial institutions. Automation can reduce problems like human error and regulatory breaches.
By Yuktesh Kashyap • Oct. 25, 2022 -
Brand Experience Team/TechTarget
The long-term answer to fixing bias in AI systems
The technology is exploding with new developments daily. However, problems with training data can lead to bias. Fixing it requires retraining the data and educating users.
By Esther Shittu • Oct. 7, 2022 -
Brand Experience Team/TechTarget
The creative thief: AI tools creating generated art
AI systems such as OpenAI's Dall-E, Midjourney and Stable Diffusion are used to create striking images. But it can be unclear if the images are inspired by others or stolen.
By Esther Shittu • Oct. 6, 2022 -
Brand Experience Team/TechTarget
New AI ethics advisory board will deal with challenges
Created by the Institute for Experiential AI at Northeastern University, the board will help organizations without internal audit boards but will face some challenges.
By Esther Shittu • Aug. 5, 2022 -
Brand Experience Team/TechTarget
Deepfake technology risky but intriguing for enterprises
Enterprises can generate synthetic data sets with the technology. It is useful in broadcast and for advertising. However, its privacy and political implications can be dangerous.
By Esther Shittu • July 27, 2022 -
Brand Experience Team/TechTarget
Green AI tackles effects of AI, ML on climate change
AI and ML are making a significant contribution to climate change. Developers can help reverse the trend with best practices and tools to measure carbon efficiency.
By Stephanie Glen • July 11, 2022 -
Brand Experience Team/TechTarget
Expert Advice // The importance of enterprise AI governance
Use an AI governance framework to surmount challenges
As AI governance adapts to the rapidly expanding field of AI, businesses need a holistic framework to surmount challenges with clearly defined roles and responsibilities.
By Kashyap Kompella • April 20, 2022 -
Brand Experience Team/TechTarget
Combating AI bias in the financial sector
Companies must use explainable AI to avoid making unfair and biased decisions about consumers. Some use machine learning tools; others avoid personally identifying information.
By Esther Shittu • April 14, 2022 -
Brand Experience Team/TechTarget
Making AI systems responsible, competitive and functional
Many enterprises have a tough time building fair and trustworthy models. Doing so could be profitable for enterprises, while not doing so could be catastrophic.
By Esther Shittu • April 7, 2022 -
Brand Experience Team/TechTarget
Monitaur makes AI governance tool generally available
GovernML helps enterprises determine policies surrounding responsible and ethical AI. It also helps enterprises determine their risk management policies.
By Esther Shittu • April 7, 2022 -
Brand Experience Team/TechTarget
Expert Advice // The importance of enterprise AI governance
How AI ethics is the cornerstone of governance
The concept of AI ethics ensures that AI systems provide accuracy and reliability. Businesses will benefit from adopting AI ethics strategies of their own.
By Kashyap Kompella • April 1, 2022 -
Brand Experience Team/TechTarget
Enterprises not focused enough on AI governance, security
AI has reached a plateau, with many organizations using similar AI and machine learning tools. But enterprises have been slow to implement AI ethics and effective cybersecurity.
By Esther Shittu • March 30, 2022 -
Brand Experience Team/TechTarget
China’s AI regulations face technical challenge
China's AI regulations ask for things that may not be technically feasible, said Russell Wald, policy director at Stanford University's Institute for Human-Centered AI.
By Makenzie Holland • March 17, 2022 -
Brand Experience Team/TechTarget
Experts see positives to China’s new AI regulations
In the international push to regulate AI, China may have developed some of the most ambitious rules to date, according to Alan Pelz-Sharpe, founder of Deep Analysis.
By Makenzie Holland • March 14, 2022 -
Brand Experience Team/TechTarget
Interpretability and explainability can lead to more reliable ML
Interpretability and explainability as machine learning concepts make algorithms more trustworthy and reliable. Author Serg Masís assesses their practical value in this Q&A.
By Cameron Hashemi-Pour • Feb. 16, 2022
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