2023: The Year in AI According to ChatGPT

We asked ChatGPT to create a list of "the Top 10 stories about generative AI published on the Web this past year." These were its picks:

  • AI Safety and Security Concerns: With the rapid advancement of generative AI, concerns about AI safety, cybersecurity, and ethical issues gained prominence. There were debates about the potential existential risks posed by AI, as well as discussions on tangible issues like algorithmic bias and the generation of harmful content using AI systems. ​MIT Technology Review
  • Global Investment in Generative AI: Despite a challenging economic environment, generative AI companies attracted substantial investment. This investment surge was partly due to the technology's potential and the risks it poses, including concerns about misinformation, biased outputs, and privacy and intellectual property protection​​. LinkLaters
  • AI's Carbon Footprint: Research by Hugging Face and Carnegie Mellon University revealed the energy consumption of generative AI models, equating it to the energy used in fully charging a smartphone. This research is crucial for understanding and potentially reducing AI's environmental impact​​. MIT Technology Review
  • Generative AI in Healthcare: Reports on the application of generative AI in healthcare, particularly studies conducted by Stanford Health Care, were influential. They shed light on the potential and limitations of using AI language models in medical settings, highlighting the need for careful evaluation and development to ensure safety and reliability​​. Stanford University Human Centered AI
  • AI in Business and Industry: AI high performers, or organizations significantly benefitting from AI, were found to use generative AI in more business functions than their counterparts. These high-performing organizations focused less on cost reduction and more on creating new businesses or enhancing the value of existing offerings through AI​. Quantum Black, AI by McKinsey
  • Generative AI in Banking and Financial Services: The banking sector showed a keen interest in generative AI, especially in large language models like ChatGPT. Banks explored these technologies for customer interaction, knowledge management, fraud prevention, and financial crimes. JPMorgan Chase, for instance, aimed to create substantial value through AI investments in technology, while other banks like SouthState Bank embraced enterprise versions of ChatGPT. The larger banks, however, expressed concerns about sensitive information leaks through these AI systems​​. American Banker
  • The Role of AI in Software DevelopmentAI's potential to address the skills gap in software development was a hot topic in the enterprise last year. This includes the use of AI in code generation and robotic process automation, offering ways to accelerate development processes and address workforce challenges​​. Computer Weekly.
  • Generative AI in Enhancing Business Processes: Businesses started to recognize the potential of generative AI in automating and improving various processes. This included content creation, personalizing communications, automating customer service communications, and analyzing service data. There was also a significant focus on using AI to drive efficiency and enhance customer experiences​​. Salesforce.com
  • House Blue-Ribbon Commission on AI: In the U.S. House of Representatives, the National AI Commission Act was introduced to establish a bipartisan commission of experts. This commission is tasked with reviewing the U.S. approach to AI regulation and making recommendations for a risk-based AI regulatory framework​​. In this article, experts from an American think tank share their insights. Atlantic Council
  • European Union's AI Act Progress: One of the most significant developments was the European Parliament reaching a deal on the AI Act in December 2023. This legislation, proposed in April 2021, adopts a risk-based approach to regulate AI uses based on their potential harm to health, safety, or fundamental rights. High-risk AI systems are subject to specific restrictions and safeguards, and certain uses, like AI-based social scoring by public authorities, are banned outright​​. National Law Review

Don't miss our coverage of AI (generative or otherwise) around the Converge360 network in the coming year.