This post was originally published on Website Planet and features insights from 7 AI industry executives, including Wordly CMO Dave Deasy.
Here is a link to the entire blog:
https://www.websiteplanet.com/blog/experts-ai-productivity/
The future of work is rapidly evolving, driven by the ever-increasing capabilities of Artificial Intelligence (AI). From automating repetitive tasks to augmenting human decision-making, AI is poised to reshape how we work fundamentally. But what exactly does this mean for productivity? Will AI render us obsolete, or will it empower us to achieve new heights of efficiency and innovation?
In this exploration of the future of work, we delve into the transformative potential of AI with insights from leading experts across various fields. We’ll hear from AI developers, business analysts, and economists as they shed light on the opportunities and challenges presented by this technological revolution. Buckle up, as we explore how AI is arranged to redefine productivity and reshape the very landscape of work.
Here are the questions explored in the article:
- In your opinion, will AI ultimately lead to increased worker productivity or job displacement?
- What role will government regulation play in ensuring responsible AI development and implementation?
- What are the challenges and opportunities for wider adoption of Generative AI (GenAI)?
- Are there ethical considerations surrounding the use of AI in the workplace?
- What are some of the potential downsides of relying heavily on AI for increased productivity?
- What skills will be most in demand as AI becomes more integrated into workplaces?
- What role will creativity and innovation play in the future of work alongside AI?
Here is a summary of the portion attributed to Dave Deasy.
Are there ethical considerations surrounding the use of AI in the workplace?
There are many ethical considerations with the use of AI in the workplace. Addressing these issues requires a cross-organization review to develop guidelines for all employees to follow. My top 3 are:
- Privacy and Data Protection – AI utilizes a lot of information to generate responses to a user’s prompt. Organizations must ensure they meet globally recognized privacy standards such as GDPR, and information security standards like AIPC SOC 2 when collecting and using personal information in their AI systems.
- Creativity and Ownership – AI tools can help create both text and graphical content, but this can lead to questions about who owns the output – and what information sources were used to create the content. Organizations need to make sure they are providing the appropriate recognition of the data sources used by their AI models.
- Bias and Fairness – AI systems can develop biases based on the data they use to train their algorithms. Organizations need to ensure their models deliver fair information – particularly when it is used to make decisions about hiring and promotions. This will help promote diversity and inclusion and lead to a happier environment for employees, customers, and business partners.
