Institution of Mechanical Engineers
Improving the world through engineering
- Date
- 13 March 2024
- Time
This event has now ended
Overview
The use of Artificial Intelligence (AI) in businesses is not new. However, generative AI such as ChatGPT has propelled the interest in digital transformation in businesses and their customers.
Early adopters of generative AI have shown promising results like improved customer experience, enhanced customer satisfaction, personalised services and marketing, better productivity and enriched interactions.
However, businesses must consider the challenges:
- AI requires good data (data literacy, integrated systems, data skills and capabilities).
- The implementer of AI has additional responsibility to assess ethical issues like bias, privacy, security, fairness, autonomy, societal impact, dignity, safety and job security.
At this year’s great debate four speakers will address different aspects of AI implementation and the benefits and challenges they entail. Regulation will also be discussed.
- How will AI affect our life? Andrew Lea, head of AI, PXP
- Boom or bust/threat or opportunity/challenges facing AI. Mona Ashod, HBS UoR
- Bias and inequality - chatbots? Dan Remenyi, ex HBS UoR
- How should/can we control and regulate it? Alan Mosca, CTO nPlan
Organised by
Institution of Engineering and Technology
The Institution of Engineering and Technology is a multidisciplinary professional engineering institution.
University of Reading
The University of Reading has been at the forefront of UK higher education for nearly a century. Over the decades we have become innovators and pioneers, pushing academic boundaries and leading social change.
Institution of Chemical Engineering
We are the leading professional qualifying body for chemical, biochemical and process engineers.
Institution of Civil Engineers
The Institution of Civil Engineers is a UK-based international organisation with over 97,000 members, ranging from students to professionally qualified civil engineers.
Speakers
Alan Mosca
nPlan
cofounder and chief technology officer
Read more
Alan Mosca
Alan Mosca is the co-founder and CTO of nPlan, where he leads technology, research, and product, whilst developing thought leadership about forecasting and risk.
nPlan was founded in 2017 with the vision to become the AI platform on which decisions would be made about the future of projects and portfolios, through the use of AI that can forecast outcomes and automatically explore scenarios. Since being founded nPlan has collected the world’s largest dataset of completed construction schedules on roughly 750,000 projects, varying across infrastructure, engineering, and construction.
Before nPlan, Alan spent 7 years as a technologist in quantitative finance, on live trading systems, research, and front-office in both high-frequency trading and asset management. Alan has extensive experience in algorithm design and software engineering and holds a BEng in Computer Engineering, MSc in Computer Science, and doctoral research in machine learning theory.
Sustainable Development Goals:
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