Transparency in AI: Key to Mitigating Lawsuits and Public Fears

0
658

In the rapidly evolving landscape of artificial intelligence (AI), media companies and other businesses alike continue to find themselves entangled in a web of lawsuits and public criticism, shining a spotlight on the issue of ethical transparency. Journalism has long been plagued by issues around deception - consumers often wonder what's sensationalism and what's not. However, with the latest casualty in the ongoing Sports Illustrated debacle, whose reputation greatly suffered after being accused of employing non-existent authors for AI-generated articles, a new fear among consumers was unlocked.

To further illustrate AI's negative implications, early last year Gannett faced similar scrutiny when its AI experiment took an unexpected turn. Previously, the newspaper chain used AI   to write high school sports dispatches, however, the technology proved to be more harmful than helpful after it made several major mistakes in articles. The newspaper laid off part of its workforce, which was likely in hopes AI could replace human workers.

How to Improve Transparency Around AI Usage

Tom Rosenstiel, a professor of journalism ethics at the University of Maryland, emphasized the importance of truth and transparency in media specifically. He argues that experimentation with AI is acceptable, but attempting to conceal it will inevitably raise ethical red flags for consumers. “If you want to be in the truth-telling business, which journalists claim they do, you shouldn't tell lies,” Rosenstiel asserted. Lies, consumers have asserted, include failing to share how articles are being written, such as with the use of AI.

The media landscape's ongoing transparency struggle with AI is further highlighted by a lawsuit filed by The New York Times against Microsoft and OpenAI in December. The Times alleges intellectual property violations related to its journalistic content appearing in ChatGPT training data. This ongoing legal battle illuminates a slew of other AI-related copyright suits, with experts noting a more focused approach to the causes of action.

In an era where consumer trust has the power to make or break a business, all publicity is not necessarily good publicity. This is evident by the continuous negative attention large corporations continue to receive, months after these incidents take place. But it's not all doom and gloom for AI. A recent study found that 31.8% of respondents think generative AI and/or machine learning will help their business a lot this year. The ethical use of AI remains a challenge to accomplish across the board, however, lawsuits and public backlash, as detrimental as they may be, are undoubtedly paving the way for a more harmonious future.

To Know More, Read Full Article @ https://ai-techpark.com/how-to-reconcile-lawsuits-and-public-backlash/

Read Related Articles:

Future-proof Marketing Strategies With AI

Democratized Generative AI

Sponsored
Search
Sponsored
Categories
Read More
Construction and repair
Satta King Chart 2023 | who win
If you’re looking for a way to win some cash, then playing Satta King is the way to go....
By Gaurav Kumar 2023-03-14 17:32:08 0 1K
Politics
Medical Display Market Latest Innovations, Drivers, Dynamics And Strategic Analysis, Challenges and Forecast to 2029
Medical Display Market size is expected to grow at a CAGR of 5.10% during the forecast period and...
By Sandip Jagtap 2024-01-09 06:33:17 0 929
Literature
Robotic Vision Market Global Share, Size, Trends Analysis, 2029
Robotic Vision market size is expected to grow at 9.4% throughout the forecast period, reaching...
By Sandip Jagtap 2024-02-07 09:16:33 0 705
Beauty, health
Middle East and Africa HIV Diagnosis & Treatment Market Report, Size, Global Forecast, 2023 – 2032
Market Scope – The Middle East and Africa HIV Diagnosis and Treatment Market is estimated...
By Radhika Sheelvant 2024-02-02 06:02:49 0 649
Wellness
​Protein Stability Analysis Market Segments by Region, Growth, Sales and Forecast till 2030
Protein Stability Analysis Market size is expected to reach US$ 4.18 Bn. by year 2030 at a...
By Harshada123 Kkkk 2024-05-03 13:01:34 0 536