The year 2023 has witnessed an unprecedented surge in the popularity of generative AI technology, and this trend appears set to persist. According to Fortune Business Insights, the global market for generative AI technology is projected to experience remarkable growth, leaping from USD 43.87 billion in 2023 to an estimated USD 667.96 billion by 2030.

To gain valuable insights into user experiences with generative AI services, the organization Applause conducted a survey. More than 3,000 digital quality testing professionals from around the world participated in this survey, shedding light on the following findings.

Generative AI Use is growing
The majority of digital quality testing professionals are using generative AI; specifically:

– 59% said their workplace allows for generative AI use.
– 79% said they are actively using a generative AI service.

Reasons cited for using generative AI include writing software, doing research, and for more creative pursuits like writing song lyrics and creating electronic music.

Concerns about bias are growing too:
Despite the increased usage of generative AI, concerns around the technology are growing. When organizations asks testers about their concerns about bias, these worries became evident:

  • 90% of respondents expressed concern over bias affecting the accuracy, relevance, or tone of AI-generated content, a 24% increase from Applause’s AI and Voice Applications Survey from March of this year.
  • 47% shared they’ve experienced responses or content they considered to be biased.
  • 18% said they had received offensive responses.

Concerns about AI hallucinations
Hallucinations in AI is another area of concern, with the survey finding:

  • 37% of respondents have seen examples of hallucinations in AI responses.
  • 88% of respondents expressed concern about the technology for software development because of the potential for hallucinations.

Data quality concerns
The survey queried digital quality testing professionals about the quality of data being used to train AI algorithms:

  • 91% expressed some level of concern with data quality.
  • 22% expressed extreme concern.

Concerns around Data Privacy and Copyright Infringement
If data privacy and copyright infringement were worries related to generative AI. Our survey found:

  • 98% of respondents said data privacy needs to be considered when developing new technologies.
  • 67% said they feel that most generative AI services infringe on data privacy.

When asked about the level of concern that content produced using generative AI that may be in breach of copyright or intellectual property protections, respondents shared:

  • 21% are extremely concerned
  • 41% are concerned
  • 29% are slightly concerned
  • 9% are not concerned

The burgeoning excitement, increasing adoption, and the expanding landscape of use cases surrounding generative AI underscore the immense potential and possibilities inherent in this technology. However, it is evident that certain concerns demand attention and resolution, including issues related to bias, hallucinations, and the emergence of harmful content.

To address and surmount these challenges, a pivotal strategy involves the engagement of real people who evaluate and test the technology. Their insights are invaluable in assessing the quality of the content generated, encompassing factors such as accuracy, subtleties of bias, and relevance. These collective efforts aim to enhance AI performance over time.

Simultaneously, the need to maintain a high standard for the data used to train these algorithms cannot be overstated. It is essential that the data adheres to stringent quality standards and complies with privacy and copyright laws, ensuring the ethical and responsible evolution of generative AI technology.

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