Two Letters, Four Principles: Mercedes Way of Responsible AI

Sandhya Michu • September 9, 2024

From interlinked navigation and electric vehicles to smart voice assistants and autonomous vehicles, Mercedes-Benz aims to harness AI using its vast data pools. The company's AI policy is governed by four principles: responsible data use, explainability, privacy and safety.

Carbon Footprint

US Body to Assess OpenAI and Anthropic Models Before Release

Azerbaijan: Building a Thriving Tech Hub

Latest

Healthcare & Pharma

AI in Healthcare: Ensuring Patients' Right to Know

Marianne Kolbasuk McGee • September 2, 2024

AI holds great promise for healthcare but ethical concerns abound. David Hoffman, assistant professor of bioethics at Columbia University, shares insights on balancing AI's benefits and risks, the need for informed consent by patients and ethical considerations in AI implementations.

Legislation & Litigation

Brazil Suspends Access to Elon Musk's X, Including via VPNs

Mathew J. Schwartz • September 2, 2024

Brazil has begun blocking domestic access to social platform X - including criminalizing access by Brazilians who might use a VPN - after the company failed to comply with court orders tied to combating disinformation campaigns, and a law requiring it has a legal representative in the country.

Video

Mozilla's Global Computing Challenge Promotes Responsible AI

Sandhya Michu • August 29, 2024

Mozilla Foundation's Responsible Computing Challenge champions ethical AI development through robust policies. Jibu Elias, the Challenge fellow for the Mozilla Foundation in India, envisions a future where AI benefits society by adhering to inclusivity, accountability and responsibility.

Video

Balancing Tech Innovation With Privacy and Ethics

Rahul Neel Mani • August 28, 2024

In today's interconnected world, where third-party providers and software supply chains are integral to business operations, tech outages are inevitable. CIOs must ensure that tech integration not only mitigates these risks but also strengthens business resilience, says Belinda Finch, CIO at IFS.

Video

AI Is a Tool, Not a Replacement: DataNoble CIO

Brian Pereira • August 27, 2024

DataNoble, a customer experience management firm, uses manual transcription of telephonic and video interviews to ensure accuracy in capturing feedback on customer journeys. CIO Tiaan van Zyl explains why human touch is crucial in data representation.

Artificial Intelligence & Machine Learning

Slack Patches Prompt Injection Flaw in AI Tool Set

Rashmi Ramesh • August 23, 2024

Chat app Slack patched a vulnerability in its artificial intelligence tool set that hackers could have exploited to manipulate an underlying large language model to phish employees and steal sensitive data. Slack said it was a low-severity bug.

Artificial Intelligence & Machine Learning

Security Experts Prioritize AI Safety Amid Evolving Risks

Aseem Jakhar • August 23, 2024

As artificial intelligence technology continues to evolve, security professionals have become involved in areas that traditionally weren't their concern such as preventing biases in decision-making, said Nathan Hamiel, senior director of research at Kudelski Security.

Artificial Intelligence & Machine Learning

AI-Generated Code: Benefits vs. Downsides

Aseem Jakhar • August 23, 2024

Generative AI tools boost developer productivity, but they also generate code with similar vulnerability rates as human developers. Chris Wysopal, co-founder and CTO of Veracode, explains why enterprises must treat AI-generated code with caution and automate security testing.

Artificial Intelligence & Machine Learning

How AIOps Is Transforming IT Operations Management - Part 2

Brian Pereira • August 22, 2024

From skill shortages to cultural shifts and security risks, implementing AIOps presents significant challenges. By effectively addressing these challenges, CIOs can improve their organizations' IT operations management, foster scalability and enable predictive maintenance.

Video

Data Readiness Overestimated, Exposing Critical Gaps

Rahul Neel Mani • August 21, 2024

Before training gen AI models - large or small - assessing organizational data readiness is vital. Inconsistent, unclean and varied datasets can lead to failed AI implementations, resulting in higher IT costs and disappointing ROI, according to Rajiv Shesh, chief revenue officer of HCLSoftware.

Video

Blending Enterprise IT, OT, Security for Seamless Air Travel

Rahul Neel Mani • August 20, 2024

To fulfill BIAL's mission of delivering a seamless travel experience, maintaining high operational standards and building a world-class airport, CIO George Fanthome discusses the various digital and AI initiatives being implemented at Bangalore Airport, India.

Artificial Intelligence & Machine Learning

Building Timely and Truthful LLMs for Security Operations

Tom Field • August 19, 2024

Many cybersecurity organizations hope generative artificial intelligence and large language models will help them secure the enterprise and comply with the latest regulations. But to date, commercial LLMs have big problems - hallucinations and a lack of timely data, said NYU professor Brennan Lodge.