notice
- Financial services firms are undergoing a complete transformation, reworking their vision, resources and leadership strategies to remain competitive in the digital world. Join us at the Digital Transformation Summit for Financial Services to learn how to transform strategically, combining emerging technologies such as AI, analytics and blockchain with the right people and ways of working to optimize and restore efficiency Create a digital-first strategy that strengthens power and enables long-term operation. – term success.
- Generative AI is rapidly transforming the life sciences and healthcare industries, bringing new possibilities to drug discovery, manufacturing and marketing operations, disease diagnosis, and personalized treatment. In the upcoming Generative AI in Life Sciences and Healthcare: Current and Future Trends webinar, Dataiku and Deloitte leaders Ben Taylor and Ayan Bhattacharya will discuss the latest trends in generative AI and its implications for life sciences and healthcare. Explore potential applications. Learn how cutting-edge generative AI applications can improve patient care and help develop new products that advance health.

Can the board of directors guide the business ethics of AI?
Corporate boards face an increasingly common moral predicament as companies implement complex AI capabilities as part of their business strategy. The question is, will the business (and yes, financial) benefits of AI outweigh the societal risks?
In a three-part series that continues this week, Bill Schmarzo examines the board’s role in responsible and ethical AI adoption for organizations. In Part 1, Bill discussed how to mitigate the effects of his AI confirmation bias. In Part 2, he explores how to identify and avoid potential unintended consequences of AI deployment. As Bill points out, it’s important for the board to be proactive about AI ethics and risk aversion.
Stay tuned for Bill’s conclusion of the series with Part 3 next week. Bill promises to provide an unintended consequence assessment worksheet and checklist that boards can use when advising senior management to mitigate the effects of AI confirmation bias.
This advice should help board members who are hesitant about their role in AI risk aversion. However, the SEC is considering a rule that would require companies to disclose their cybersecurity governance capabilities, including oversight of cyber risks by their boards. It’s no wonder AI is next on his SEC’s list, especially if the use of artificial intelligence in business proves to be a risk to investors and consumers. Boards of companies that offer AI-powered products and services should start considering how to implement efforts to offset the risks posed by the many benefits of artificial intelligence.
Editor at Data Science Central
Please contact the DSC team if you are interested in contributing.
DSC Featured Articles
- Artificial Intelligence: Board Challenges – Part II
June 13, 2023
By Bill Schmarzo - Best practices for designing accessible e-learning content
June 9, 2023
By Nikita KV - Unannounced next-level partnership between Microsoft and Databricks
June 9, 2023
By Jason Yip - Digital systems essential for decarbonizing energy pipelines
June 9, 2023
by Jane Marsh - Data observability and data quality
June 9, 2023
Written by Vanisa - The Importance of Data Engineering for Profitable App Development
June 9, 2023
By Evan Rogen - Healthcare analytics: how we enable better patient care
June 9, 2023
By Ryan Williamson - The Impact of Conversational AI on Healthcare Outcomes and Patient Satisfaction
June 7, 2023
by John Lee - Data science is a lucrative career option for young people
June 7, 2023
By Erica Bara - Why are Progressive Web Apps the future of web development?
June 7, 2023
Written by Tarunnagar - How can a beginner become a data analyst?
June 7, 2023
By Evan Rogen - DSC Weekly June 6, 2023 – The Missing Piece in Systems Like LLM and GPT
June 6, 2023
by Scott Thompson
Photo of the week

