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The 2023 Digital Year in Review

The Year AI Forced Us to Face Our Digital Dilemmas

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As 2023 draws to a close, the digital landscape continues to evolve at breakneck speed. From the realignment of hybrid working and the reshaping of the workforce to the rebuilding of cryptocurrencies and the continuing investments in the metaverse, we’ve seen a great deal of change in the past 12 months. But there’s no doubt that the story of 2023 has been dominated by one topic: AI.

Major advances in AI have dominated the headlinesInvestments in new AI ventures have rocketed. Meanwhile, AI is seeping into every facet of our lives, from the mundane (recommending your next Netflix show) to the profound (predicting your health based on your sleeping patterns). Individuals and organizations across the public and private sectors have flocked to the latest wave of generative AI solutions in record numbers. By the end of 2023, extensive investment and experimentation in generative AI tools in almost every part of the economy is widely reported. Even more is planned for the next 12 months.

While this progress is exciting, it has also sparked a growing sense of unease. Indeed, the real story of 2023 may not be the deployment of AI itself, but the wakeup call it has provided as we face important questions being raised by this new wave of AI. Now more than ever, we see that the digital world stands at a crossroads. As expectations surrounding AI’s impact reach a fever pitch, so too do calls for a greater focus on its responsible development and use. Which path we’ll take, and the implications of the choice we make, are far from clear.

Read the remainder of the article here:

Digital Economy Dispatch #164 — The 2023 Digital Year in Review: The Year AI Forced Us to Face Our Digital Dilemmas (alanbrown.net)

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Written by Alan Brown

Prof. Alan Brown has been delivering impact as an entrepreneur and in business for over 30 years, working in start-ups and large enterprises to enable software delivery to power business transformation. He is also a university professor, researcher, coach, and trusted adviser to C-level executives in the public and private sector. He has written several books on enterprise software delivery and digital transformation, and holds a Professorship in Digital Economy at the University of Exeter, UK and is a Fellow of the Alan Turing Institute, the UK National institute for data science and AI.

In his capacity as the Deputy Director of the Defence Data Research Centre (DDRC) and serving as the Principal Investigator (PI) for the Data Management division within the DDRC's research program, Alan is actively engaged in a multifaceted research agenda. His responsibilities include investigating contemporary best practices in data management for artificial intelligence and decision-making, conducting a comprehensive review of existing data management practices within select areas of the Ministry of Defence (MoD), and undertaking a needs analysis aimed at informing the requirements of data architects and managers in the context of AI and decision-making processes.

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