Ethics & Governance: Page
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Lawmakers concerned about deepfake AI’s election impact
Lawmakers want Congress to intervene and tackle AI manipulations that could affect U.S. elections. However, legislation has yet to advance to the House or Senate floor.
By Makenzie Holland • April 17, 2024 -
Mixture-of-experts models explained: What you need to know
By combining specialized models to handle complex tasks, mixture-of-experts architectures can improve efficiency and accuracy for large language models and other AI systems.
By Lev Craig • April 12, 2024 -
Musicians and the fight for fairness in the age of GenAI
Artists say generative AI systems are threatening their livelihoods. Jenn Anderson-Miller, CEO of music licensing company Audiosocket, has ideas about how to address the issue.
By Esther Shittu , Shaun Sutner • April 8, 2024 -
Microsoft intros new responsible AI tools in Azure Studio
The new tools address one of the barriers of adoption for enterprises looking to use generative AI technologies. They show Microsoft's thought process on government regulations.
By Esther Shittu • March 28, 2024 -
Podcast
Security, bias risks inherent in GenAI black box models
Language models are stochastic models that generate output based on data upon which they have been trained. Often, these models are a closed black box. That leads to many problems.
By Esther Shittu , Shaun Sutner • March 25, 2024 -
Microsoft whistleblower, OpenAI, the NYT, and ethical AI
The vendor has filed a memorandum to dismiss some of the arguments The New York Times made in its copyright lawsuit. However, it now faces criticism from its own software engineer.
By Esther Shittu • March 7, 2024 -
Expert Advice // Management and compliance best practices for enterprise AI
AI and compliance: Which rules exist today, and what’s next?
The AI regulatory landscape is still racing to catch up with the fast pace of industry and technological developments, but a few key themes are starting to emerge for businesses.
By Chris Tozzi • Feb. 21, 2024 -
Manufacturing group uses AI for EHS safety compliance
To pinpoint risky and dangerous incidents in workplace environments without having to sift through thousands of data points, a manufacturing group turned to Benchmark Gensuite.
By Esther Shittu • Feb. 9, 2024 -
Expert Advice // The role of data quality in AI and machine learning
The role of trusted data in building reliable, effective AI
Without quality data, creating and managing AI systems is an uphill battle. Methods such as zero-copy integration and primary key consistency can ensure trusted data for better AI.
By Alan Morrison • Feb. 2, 2024 -
Generative AI's impact on industry sectors
What does generative AI mean for the legal sector?
Generative AI tools such as ChatGPT are entering law practices, promising more efficiency and less time spent on rote tasks. But risks remain around accuracy, ethics and privacy.
By Lev Craig • Jan. 25, 2024 -
Podcast: Examining Microsoft VC M12’s AI investment policy
M12 looks for new and transformative technologies. It also seeks to back companies that are focused on how the generative market might shift in the coming years.
By Esther Shittu • Jan. 16, 2024 -
OpenAI’s fair use claim against The New York Times lawsuit
The AI vendor claims it is widely accepted to use materials from the internet to train AI models. It also suggested that the Times manipulated models to regurgitate old materials.
By Esther Shittu • Jan. 9, 2024 -
GenAI in court: AI training data copyright lawsuits to watch
The importance of the ‘New York Times’ AI copyright lawsuit
The newspaper publisher is the first major news outlet to sue the AI creator. While the suit might not reach court, it still has a significant impact on the AI community.
By Esther Shittu • Jan. 3, 2024 -
A challenge: Guiding generative AI toward responsible use
Transparency, explainability and lack of bias are principles for building generative AI systems that work according to ethical rules and are fair for everyone.
By Shaun Sutner , Esther Shittu • Jan. 2, 2024 -
Expert Advice
How an AI governance framework can strengthen security
Learn how AI governance frameworks promote security and compliance in enterprise AI deployments with essential components such as risk analysis, access control and incident response.
By Jerald Murphy • Dec. 14, 2023 -
Possible reasons for Meta disbanding its responsible AI team
After releasing more generative AI tools this year, the tech giant made a controversial move by dismantling its unit dedicated to responsible AI.
By Esther Shittu • Nov. 22, 2023 -
Enterprises weigh open source generative AI risks, benefits
At EmTech MIT, experts explored the challenges and benefits of adopting generative AI in the enterprise, including the pros and cons of open source generative AI models.
By Lev Craig • Nov. 17, 2023 -
Expert Advice // Managing risks and challenges in generative AI initiatives
What are the risks and limitations of generative AI?
As enterprise adoption grows, it's crucial for organizations to build frameworks that address generative AI's limitations and risks, such as model drift, hallucinations and bias.
By John Burke • Nov. 13, 2023 -
AI executive order does not fix need for federal regulation
The executive order on AI focuses on data privacy, defense and many other areas. While it's seen as comprehensive, many are looking for the U.S. to enact federal legislation.
By Esther Shittu • Nov. 3, 2023 -
data dignity
Data dignity, also known as data as labor, is a theory positing that people should be compensated for the data they have created.
By Emily Foster • Oct. 23, 2023 -
GenAI in court: AI training data copyright lawsuits to watch
Fair use may not help Anthropic against AI music lawsuit
Universal Music Group and other music publishers allege the vendor's Claude 2 AI model responds to users' prompts with all or most of the lyrics to popular copyrighted songs.
By Esther Shittu • Oct. 19, 2023 -
Expert Advice
The data privacy risks of third-party enterprise AI services
Using off-the-shelf enterprise AI can both increase productivity and expose internal data to third parties. Learn best practices for assessing and mitigating data privacy risk.
By Chris Tozzi • Oct. 18, 2023 -
How machine learning can combat climate change
Machine learning can produce sustainability insights and help plan effective climate action. But researchers face challenges around data, compute and AI's own environmental impact.
By Lev Craig • Oct. 6, 2023 -
Lawyers win in race to generative AI without adequate laws
As Congress drags its feet on passing AI regulations, lawyers are filling the vacuum by helping enterprises navigate court rulings and regulations based on outdated laws.
By Antone Gonsalves • Oct. 2, 2023 -
Benefits, risks of Google AI chatbot’s Bard Extensions
The tech giant's new extensions enable users to use the AI chat tool to summarize information from their email or make travel plans. However, it still has problems with accuracy.
By Esther Shittu • Sept. 21, 2023