Artificial intelligence & machine learning: What managers need to know

Source: Artificial Intelligence on Medium

Artificial intelligence & machine learning: What managers need to know

A look inside our latest special issue

The March-April 2020 issue of Business Horizons is out. This is a special issue focused on Artificial Intelligence (AI) and Machine Learning (ML). Guest editors Jan Kietzmann and Leyland Pitt note (p. 132):

The articles in this special issue will serve as a guide for the thinking manager in his/her pursuit of an executive-level, nontechnical understanding of the opportunities and threats that AI and ML will present to markets, workplaces, and public life.

So, what’s included in this issue?

Deepfakes: Trick or treat? (Kietzmann, Lee, McCarthy, & Kietzmann) Deepfakes are automated procedures to create fake content that is harder and harder for human observers to detect. So, how can one manage deepfake risks?

Artificial intelligence: Building blocks and an innovation typology (Paschen, Pitt, & Kietzmann)What are the building blocks of artificial intelligence and how might AI innovations be organized?

Machine learning for enterprises: Applications, algorithm selection, and challenges (Lee & Shin) What are the categories of machine learning and how is ML used in enterprises?

Innovation analytics: Leveraging artificial intelligence in the innovation process (Kakatkar, Bilgram, & Füller) How can artificial intelligence play a key role in the innovation process by driving multiple aspects of innovation analytics?

Artificial intelligence and machine learning as business tools: A framework for diagnosing value destruction potential (Canhoto & Clear) How can one identify and manage the value-destruction potential of artificial intelligence and machine learning for businesses?

Virtue as a framework for the design and use of artificial intelligence (Neubert & Montañez) What are the ethical implications related to the design and utilization of artificial intelligence across different business applications? How might these ethical concerns be managed?

Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector (Desouza, Dawson, & Chenok) How might artificial intelligence be used in public sector settings?

AI-enabled recruiting: What is it and how should a manager use it? (Black & van Esch) What impact is artificial intelligence having on recruitment practices?

From data to action: How marketers can leverage AI (Campbell, Sands, Ferraro, Tsao, & Mavrommatis) How can marketers leverage artificial intelligence to better understand, predict, and engage customers, and in so doing better manage the marketing function?